[100% OFF] Complete Digital Marketing Course in Hindi with Google Free
Best Complete Digital Marketing Course in Hindi with Google (2020). If you want to learn from Basic to Advance Complete Digital Marketing Course in Hindi With Google & want to become an internet marketing expert and learn digital marketing strategy. SEO in Hindi, Social Media Marketing in Hindi, SEM, Google Ads in Hindi, YouTube marketing, Email, TikTok Ads India in Hindi & TikTok Marketing, Facebook Marketing in Hindi, Copywriting, content marketing, video marketing, quora marketing & Inbound marketing.
This is one of the most comprehensive digital Marketing Courses in Hindi With Google available in India. We'll cover:
Email Marketing. Build a mailing list of 1000 individuals in 30 times from scratch. Advertising is the action of sending a message, normally using email. In its broadest sense, each email delivered to a current or prospective customer might be considered advertising. It entails using email ask an organization to send advertising, or solicit donations or sales.
Copywriting. Register ring! Copywriting is a job or the action of composing the text for the purpose of advertisements or other types. The product is articles which aim to boost brand awareness and finally convince a team or a person to choose a Specific activity
SEO (Search Engine Optimisation) in Hindi. Get free visitors. Search engine optimization is the practice of raising the quality and amount of traffic by boosting the visibility of even a web site or a site for users of search engine optimization.
YouTube Marketing. Drive traffic & sales with a simple "how-to" videos.
Social Media Marketing in Hindi(Instagram, Facebook, Twitter, Pinterest & Quora).
Linkedin Marketing. Go viral on Linkedin and 400x your connections.
Google Adwords in Hindi. Avoid common mistakes and set up profitable campaigns the first time.
Facebook Ads in Hindi. Make money with Facebook Ads without spending a fortune.
Google Analytics. Improve your marketing with Google Analytics data.
Quora marketing. Learn how to use quora for traffic n marketing.
TikTok Ads India in Hindi & TikTok Marketing Learn how to run ads on TikTok ads India 2020 in Hindi and how to use TikTok ads India in Hindi & TikTok Marketing in Hindi for your business
Covering 11 major online marketing topics and comprising of 21+ hours of clear cut lectures & practice activities - this Digital Marketing Course in Hindi With Google is "incredible value for money!" as one student said.
Google Digital Marketing Courses in Hindi are intended to guide students and marketing professionals & make them learn Digital Marketing channels, strategies, and related practices that can help them channelize and optimize their digital marketing Google campaigns. By the end of this course, you will be confidently implementing digital marketing strategies across the major online marketing channels.
Students who wish to know how to learn digital marketing & embrace the Google Online Marketing Challenges are urged to finish the digital marketing course in Hindi with Google. An individual may shell out so many bucks on these Google Digital Marketing Courses in Hindi but to appear for the exam, basics must be clear.
Various skills that entrepreneurs understand within this google Digital Marketing allow them to construct a profitable profession in digital marketing. Google Digital Marketing and advertising classes help entrepreneurs learn ad-words and thus place up them to that Google companions ad words Certification assessments.
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Just to give you an insight, Digital Marketing is an amalgam of Marketing through various online channels. These channels primarily include Search Engines, Social Media, and E-Mails.
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Digital un-locked comprises The Primer program that produces 5-minute electronic marketing and advertising courses from Hindi and English that'll allow you to learn to initiate a firm, develop a site, perform search engine optimization, conduct on the web advertising, and much more. It provides free google-analytics certificates for people who finish. With Digital Marketing Course in Hindi With Google, you will find it easy to accomplish those certificates.
All the strategies, tips and tools recommended are either free or very cost-effective.
You'll Also Get WHEN YOU ENROLL IN THE DIGITAL MARKETING course:
✔ Lifetime Access to course updates
✔ Fast & Friendly Support in the Q&A section
✔ Udemy Certificate of Completion Ready for Download
✔ 30-Day 100% money-back guarantee - no questions asked!
This digital marketing course in Hindi With Google is having the following bonuses
Complete Digital Marketing Course in Hindi With Google with simple & easy language
Downloadable checklists to keep you on track
Downloadable guides to help you take action
Case Studies to show you behind the scenes of our strategies
GET READY TO TAKE ACTION
Throughout the entire course, you'll be taking action!
You'll learn the proper techniques and strategies for each section. Then you'll see how these strategies are used in the real world with case studies. Finally, you'll take action yourself, and see real results!
BY USING THIS DIGITAL MARKETING COURSE IN HINDI With Google YOU CAN GROW YOUR BUSINESS!
Whether you're completely brand new to all of these topics, or you use a few of them, now is the perfect time to take action.
Enroll now so that you can take advantage of the skills you learn to grow your business!
Digital Marketing क्या है?
ऑनलाइन और इन्टरनेट के माध्यम से किसी प्रकार के उत्पाद (Products) अथवा सेवाओं (Services) का प्रचार एवं प्रोत्साहन करने की प्रक्रिया को ही Digital Marketing कहा जाता है! इसे आप एक प्रकार की कला (Art) और योजना (Strategy) कह सकते हैं! जिसका उपयोग कर ऑनलाइन मार्केटिंग किया जाता है!
Who this course is for:
Entrepreneurs, business owners, bloggers, YouTubers, social media fans
Website owners who want to increase web traffic, conversions, and sales
Business owners who want to use digital marketing (social media, content marketing, YouTube, and many other strategies) to grow their business
Anyone wanting to do your own marketing - and not waste money
Who this course is for:
This Digital Marketing Course in Hindi with Google is best for Students, Entrepreneurs, Business owners, Bloggers, YouTubers, Social media influencers or Digital Curious
हिंदी में सीखने जिसे जायदा समझ आता हो
Website owners who want to increase web traffic, conversions, and sales
This Digital Marketing Course in Hindi is best for Business owners who want to use digital marketing (social media, content marketing, YouTube, and many other strategies) to grow their business
Anyone wanting to do your own marketing - and not waste money
This Digital Marketing Course in Hindi With Google is best for Youth who wants to start career in Digital Marketing
Freelancer or Part Time job seeker
Learn Data Structures in Python all the way from B... Moreuilt-in to User-Defined.
It's Beginner Friendly with intuition followed by code tutorials, So It's Easy to Understand and Visualise a Data Structure.
Solving Problems would be easier after learning the Data Structure as you have better intuition.
Course Design: (Intuition) + (Code walkthrough) + (Time-Complexity + Application of that Data Structure)
Data Structures Include:
Lists
Tuples
Sets
Dictionaries
2-D Arrays
OOP For understanding data structures
Stacks
Queues
Deque
Linked-Lists
Doubly Linked Lists
Circular Linked Lists
Trees
Binary Trees
Binary Search Trees + Traversals
AVL Trees
Heaps + Heap sort
Priority Queue
HashMaps/HashTables
Graphs + Properties
Graph Traversals
Spanning Trees + MST
Prims + Kruskals Algorithms for MST
Tries (Keyword Trees)
Take Away Section. Less
This course will teach students every thing about ... MoreSEO in 40 minutes and make them perform SEO by using the best practices. What's more this SEO course is built to stand the test of time...keep reading to find out why!
"Short and essential"
"Really engaging, like the way you explain all the little things, good for us beginners!"
"Struggled with these concepts before this course. Thank you for explaining it so simply"
"Great course by a great instructor."
Who this course is for:
Students desiring to learn SEO
People who want to perform on their websites to increase traffic Less
Learn Python From Scratch
I’ve created thorou... Moregh, extensive, but easy to follow content which you’ll easily understand and absorb.
The course starts with the basics, including Python fundamentals, programming, and user interaction.
The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.
The topics covered in this course are:
Array implementation
File methods
Keywords and Identifiers
Python Tuples
Python Basics
Python Fundamentals
Data Structures
Object-Oriented Programming with Python
Functional Programming with Python
Lambdas
Decorators
Generators
Testing in Python
Debugging
Error Handling
Regular Expressions
Comprehensions
Modules
See you inside the course! Less
Hello students!
Everyone will accept that Andro... Moreid has major share in smartphone applications and it is still growing. All types of businesses - Be it small or large or medium; are making their own App. Also there is a major share of Apps developed for individual level use.
I am Altaf and I’ve designed this course for you. In this course I and my assistant are going to explain development process of Android App for To-Do List Application.
This course teaches you practical steps to develop this Android App with Kotlin. This course covers all steps required for the development. With each video course, we have provided related source code files and important resources.
This online video course is designed specifically keeping academic students in mind. If you are college students and looking for Android Live Project. It is best course for you.
All students who are completing this course will be provided with course completion certificate.
In addition to course completion certificate, we also provide live project completion certificate - Once you submit completed App Screenshot. This project certificate will be awarded from our company Nimetler Technologies Private Limited.
Project completion certificate provided by us is helpful for your career growth as recognizance of your experience in Android development.
All the best and Join Us! Less
Learn Python From Beginner To Advanced Level
I... Moreve created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.
The course starts with the basics, including Python fundamentals, programming, and user interaction.
The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.
The topics covered in this course are:
* Beginner to Expert Python contents:
Array implementation
File methods
Keywords and Identifiers
Python Tuples
Python Basics
Python Fundamentals
Data Structures
Object-Oriented Programming with Python
Functional Programming with Python
Lambdas
Decorators
Generators
Testing in Python
Debugging
Error Handling
Regular Expressions
Comprehensions
Modules
See you inside the course! Less
The Ionic Framework is supported on a variety of m... Moreobile (and desktop) platforms. In this course, you will learn how to go from no code to your very own application ready for sale on the Apple App Store and Google Play Store.
Unlike many courses that spend a lot of time on background, this course will be fast-paced, with a minimum of fuss and fluff. It's all hands-on.
I expect you to have some basic understanding of web development. You should know what a div is, for example; and know how to create a button. You should have a decent grasp of JavaScript, but you don't need to be a master.
I don't expect you to be an expert in React, but you should grasp the basics of JSX, component architecture, state, and hooks. Other concepts will be explained as needed, as close to their use as I can get.
By the time you complete the course, you should have the confidence you need to create and deploy your own mobile app UI for iOS or Android.
It'll be a fast ride, so enroll now and hang on.
Who this course is for:
Any developer wanting to publish mobile applications with technology they already know and love. Less
If you want to be fluent in English and sound nati... Moreve, you need to know phrasal verbs well.
There's a ton of information on them, but it's all in tiny pieces spread across grammar books, dictionaries, and various websites.
I spent a year putting this information together and building this course to make phrasal verbs as easy to understand as physically possible. By taking this course you'll save tons of time and the frustration involved in digging for bits and pieces of necessary information.
This course breaks down what phrasal verbs are, why they matter, what kinds of phrasal verbs exist, and what is the best way to learn them.
You will learn 10 of the 1.5% most common phrasal verbs in the English language: what they are, which of their meanings are the most/least common (with the % of their usage and examples), and a variety of exercises to help you cement them in your memory.
This course will give you the NECESSARY knowledge to transform your "good English" into "native English" - as long as you follow all recommendations and do all the exercises provided.
Note that the theoretical part (video) of the course is 40 minutes long, but the activities section is expected to take 5-6 hours. This is because I have created custom exercises for you to practice what is taught in the video.
Who this course is for:
Pre-Intermediate (or higher) English learners who want to think and speak more naturally.
Students trying to write better university papers in English.
People that have/are looking for a job that requires English.
People who deal with English on a daily basis.
People that know that their English is not perfect and there’s space for improvement.
People that know that their English is almost perfect and there’s a tiny bit of space for improvement. ;)
People that struggle to understand native speakers. Less
Learn GraphQL from Scratch with MERN Stack (Mongo ... MoreExpress React Node) and Firebase to build Truly Realtime Web Apps.
So if you are looking to Build Lightning Fast Realtime Web Apps using GraphQL with MERN Stack, don't waste your valuable time wandering around and trying to learn it from 10 different resources.
I have packed everything into this course for you to fully understand all the practical GraphQL concepts... from basic to advance.
Ready to go FullStack GraphQL with Node React MongoDB Firebase Authentication CRUD Realtime Subscriptions Deployment and more
Join me :) Less
Learn to do an SEO audit with my comprehensive 50-... Morepoint checklist. You will be able to not only identify problems on your site, but I'll show you how to fix them on your own.
My goal is for you to be able to find and fix SEO problems on your site. You will only need to hire freelancers to do the intermediate to advanced technical work that is beyond SEO.
Sometimes you will encounter SEO issues that can be fixed by a software engineer or a network engineer. In those cases, I recommend that you hire a freelancer. But in most cases, I show you how to fix the SEO problems on your own.
After The Audit, You Will Have:
After performing the audit, you'll have a list of improvements and an ability to implement:
Making your site mobile
Improving site load speed
Content quality
Optimal content strategy with full site crawling, indexing, and ranking potential
Sell SEO Audit Services As A Freelancer Or As An Agency Service
SEO audits are a popular service to provide. After this course, you'll be able to impress potential clients that you will give them an impressive and comprehensive site audit with many actionable items they can implement. After that, you will be able to implement most of those action items and make more revenue from that.
Who this course is for:
Website owners, entrepreneurs, freelancers Less
Apache Kafka has become the leading distributed da... Moreta streaming enterprise big data technology. Kafka is used in production by over 33% of the Fortune 500 companies such as Netflix, Airbnb, Uber, Walmart, and LinkedIn.
To learn Kafka easily, step-by-step, you have come to the right place! No prior Kafka knowledge is required.
If you look at the documentation, you can see that Apache Kafka is not easy to learn...
Thanks to my several years of experience in Kafka and Big Data, I wanted to make learning Kafka accessible to everyone.
We'll take a step-by-step approach to learn all the fundamentals of Apache Kafka.
At the end of this course, you'll be productive and you'll know the following:
The Apache Kafka Ecosystem Architecture
The Kafka Core Concepts: Topics, Partitions, Brokers, Replicas, Producers, Consumers, and more!
Launch your own Kafka cluster in no time using native Kafka binaries – Windows / MacOS X / Linux
Learn and Practice using the Kafka Command Line Interface (CLI)
Code Producer and Consumers using the Java API
Real-world project using Twitter as a source of data for a producer and ElasticSearch as a sink for our consumer
Note: The hands-on section is based on Java, which is the native Kafka programming language. But, good news! Your learning in Java will be completely applicable to other programming languages, such as Python, C#, Node.js or Scala, and Big Data frameworks such as Spark, NiFi or Akka.
Who this course is for:
Developers who want to learn the Apache Kafka Fundamentals, start a cluster and write their first application
Architects who want to understand how Apache Kafka fits into their solution architecture
Anyone looking to learn the full theory of how Apache Kafka works as a distributed system Less
You're looking for a complete Linear Regression co... Moreurse that teaches you everything you need to create a Linear Regression model in R, right?
You've found the right Linear Regression course!
After completing this course you will be able to:
· Identify the business problem which can be solved using linear regression technique of Machine Learning.
· Create a linear regression model in R and analyze its result.
· Confidently practice, discuss and understand Machine Learning concepts
A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.
How this course will help you?
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular technique of machine learning, which is Linear Regression
Why should you choose this course?
This course covers all the steps that one should take while solving a business problem through linear regression.
Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course
We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman - Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Quizzes, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.
What is covered in this course?
This course teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems.
Below are the course contents of this course on Linear Regression:
· Section 1 - Basics of Statistics
This section is divided into five different lectures starting from types of data then types of statistics
then graphical representations to describe the data and then a lecture on measures of center like mean
median and mode and lastly measures of dispersion like range and standard deviation
· Section 2 - R basic
This section will help you set up the R and R studio on your system and it'll teach you how to perform some basic operations in R.
· Section 3 - Introduction to Machine Learning
In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.
· Section 4 - Data Preprocessing
In this section you will learn what actions you need to take a step by step to get the data and then
prepare it for the analysis these steps are very important.
We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation and correlation.
· Section 5 - Regression Model
This section starts with simple linear regression and then covers multiple linear regression.
We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures. We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results, what are other variations to the ordinary least squared method and how do we finally interpret the result to find out the answer to a business problem.
By the end of this course, your confidence in creating a regression model in R will soar. You'll have a thorough understanding of how to use regression modelling to create predictive models and solve business problems.
Go ahead and click the enroll button, and I'll see you in lesson 1!
Cheers
Start-Tech Academy
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Below is a list of popular FAQs of students who want to start their Machine learning journey-
What is Machine Learning?
Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
What is the Linear regression technique of Machine learning?
Linear Regression is a simple machine learning model for regression problems, i.e., when the target variable is a real value.
Linear regression is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y). More specifically, that y can be calculated from a linear combination of the input variables (x).
When there is a single input variable (x), the method is referred to as simple linear regression.
When there are multiple input variables, the method is known as multiple linear regression.
Why learn Linear regression technique of Machine learning?
There are four reasons to learn Linear regression technique of Machine learning:
1. Linear Regression is the most popular machine learning technique
2. Linear Regression has fairly good prediction accuracy
3. Linear Regression is simple to implement and easy to interpret
4. It gives you a firm base to start learning other advanced techniques of Machine Learning
How much time does it take to learn Linear regression technique of machine learning?
Linear Regression is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn Linear regression starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to remember whatever you have learnt. Therefore, we have also provided you with another data set to work on as a separate project of Linear regression.
What are the steps I should follow to be able to build a Machine Learning model?
You can divide your learning process into 4 parts:
Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part.
Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model
Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the R environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in R
Understanding of Linear Regression modelling - Having a good knowledge of Linear Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture in R where we actually run each query with you.
Why use R for data Machine Learning?
Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Machine learning in R
1. It’s a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, it’s not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing.
2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind.
3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science.
4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means it’s easy to find answers to questions and community guidance as you work your way through projects in R.
5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier – and of course, it’ll also make you a more flexible and marketable employee when you’re looking for jobs in data science.
What is the difference between Data Mining, Machine Learning, and Deep Learning?
Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions.
Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning.
Who this course is for:
People pursuing a career in data science
Working Professionals beginning their Data journey
Statisticians needing more practical experience
Anyone curious to master Linear Regression from beginner to advanced in short span of time Less
Programming can sometimes be very hard to learn es... Morepecially if you have no experience in this field. But, this course have everything that you need to be able to start your programming career or improve your programming skills by learning all the basis of python. If you :
- Are in school and want to learn how to program in python
- Need to learn this programming language for work
- Want to start a personal project that requires you to have programming knowledge
- simply want to learn a new skill
Then you will love this course. Not only you will have by the end of the course a very solid base of this programming language but you will also be able create small and simple application right after the course.
The structure of the course
The way the course is made is really done to help you learn all the basics of this programming language. From installing your text editor to writing your first lines of code to create your small apps everything is structured to help you achieve your goal of learning how to program in python. This course is also teach many python functions and formulas and give a complete understanding of those. The goal is really to help you have a complete understanding of this programming language. Indeed, the hardest part is not to learn the language but to think like a programmer and this is exactly what this course is going to teach you.
Also, this course has been built on a concept of learning by practice. In other words, in each class you will learn the theory about every concept and then you will have a lot of practice to help you reach your full potential and give you a better understanding of the topic. This way, by practicing you will be able to write lines of code by yourself and understand the logic behind each command that you write down.
For who is this course designed
There are many python courses out there, but this one is different. Indeed, this python course will teach you by example all the basics of this programming language. Also, since this course is an introduction it can be great for people who have never worked with python before. Indeed, even if you never programmed in your life this course will give you a solid basis about how to properly work with python. The goal of this course is teaching you how to think like a programmer and create small and basics python projects.
Why should I take this course
If you want to learn programming then you should definitely take the course. Not only you will have created a lot of small apps by the end of it you will also have a very good knowledge of different python concepts. Also you will understand the logic behind this programming language as well as many of it's functions.
There is no risk involved in taking this course
This course comes with a 100% satisfaction guarantee, this means that if your are not happy with what you have learned, you have 30 days to get a complete refund with no questions asked. Also, if there is any concept that you find complicated or you are just not able to understand, you can directly contact me and it will be my pleasure to support you in your learning.
This means that you can either learn amazing skills that can be very useful in your professional or everyday life or you can simply try the course and if you don't like it for any reason ask for a refund.
You can't lose with this type of offer !!
ENROLL NOW and start learning today Less
Learn the essentials you'll need to get started wi... Moreth AngularJS, a popular open-source web application framework maintained by Google. During this two-hour introductory course, your instructor will introduce you to the basics of AngularJS.The course is designed for individuals and web development professionals that need to understand the fundamentals of AngularJS.Learn about data binding, controllers and creating simple apps, along with additional ways to control the data of AngularJS applications with multiple rows of data and scope binding.
Who this course is for:
This course is for people who are new to Angular Less
Have you ever wanted to build a game with a graphi... Morecal interface but didn't know how to? Maybe you even know how to create tools on a command line but have no idea how to convert it into a graphical interface that people can click on. In this course, we will be learning Python GUI Programming + Turtle + other advanced python modules to build graphical user interfaces (GUI) and games from scratch.
Game projects covered:
1. Solitaire
2. Space Shooter
3. Chain Reaction
4. Pac-man
5. Car Racing
6. Snake and many more.
Basic Python course Highlights:
Installing Python
Running Python Code
Strings
Lists
Dictionaries
Tuples
Sets
Number Data Types
Print Formatting
Functions
Scope
args/ kwargs
Built-in Functions
Debugging and Error Handling
Modules
External Modules
Object-Oriented Programming
Inheritance
Polymorphism
Encapsulation
Advanced Methods
Iterators
Closures
and much more! Less
UPDATE FOR 2020 with Tanmay's latest knowledge on ... MoreAgile Scrum Certification!
This course is about learning the latest Agile Scrum methodology for the Software development field. In this course, you will learn all other Agile methodologies along with detailed information on Scrum.
By this course, experienced project managers can grow in their careers and get the next level of opportunity as an Agile Scrum Master and the junior team members can learn the process of the Agile Scrum methodology.
The biggest target audience is at any experience level who wants to learn Agile Scrum in detail and apply in the career!!!
Who this course is for:
Project Managers who would like to be an Agile Scrum Master
Qualifying Agile Scrum Master Certification Exam
People who want to learn about Agile Scrum
Developers, BAs, Architects, Analysts, Designers, Managers, etc Less
If you want to learn ethical hacking the fun and e... Moreasy way like playing a computer game, then this course is for you. There exists on the Internet several websites which allows people to hack and learn hacking. These websites typically have different levels from easy to advanced. By hacking each level and gradually levelling up, you will learn hacking. Traditionally, ethical hacking is taught by installing virtual machines on your PC and hacking the virtual machines inside your PC. This way of learning hacking can be pretty boring as there are no challenges or rewards. Also it can be quite laggy unless you have a high end machine. In addition, some people find learning Linux and installing virtual machines too troublesome.
In this course, I will show you an alternative way, which is more fun and where you will enjoy the thrills of hacking real websites legally and solving each level and going from easy and gradually to more advanced levels - just like paying online games. The website we will be hacking is HackThisSite!! which is a popular hacker's playground where hackers play hacking games reminiscent of CTF (Capture the Flag) and learn at the same time. However, without some help and guidance you will find it quite challenging. Hence this course. I will walk through each level from Basic to Realistic
You do not need to go through the hassle of installing virtual machines or Linux on your computer. All you need is a PC. In this course I am only using a Windows PC to do hacking.
Great way to learn Web Development & Information Technology (IT):
If you had always wanted to learn HTML, Javascript, PHP, MySQL, etc, what better way than to learn how to hack. So, I invite you to learn to hack and in the process, you will also learn web development and IT. This is much more fun & exciting than learning it the traditional way - the boring way through formal IT courses and books. You will be killing 2 birds with one stone, i.e. learning how to hack and also learn IT. So let's get started in your journey of hacking to learn.
Bug Bounty:
Last, but not least, the site creators of HackThisSite encourage you to literally hack their site to explore the security of their site and they will reward those who responsibly disclose their exploit with an entry into the HackThisSite hall of fame.
This course is backed by a 30-day money back guarantee. So, go ahead and enroll in this course now and start hacking the fun and easy way!
Who this course is for:
Web developers who have no knowledge on hacking
Students who want to learn hacking the fun way by hacking real websites (legally)
Those who enjoy computer games and want to try hacking as a game Less
Welcome to my new course: 'JavaScript + ES6 + ES7 ... More+ ES8 + ES9 -> The Complete Guide'.
This course starts from scratch, you neither need to know any pre-requisite programming knowledge nor any language expertise.
From the environment Setup to Development, this course covers almost each and every concept required to become an expert JavaScript developer.
Having a deep-dive of the concepts in this course, you'll learn all about:
JavaScript: Development Environment Setup
Fundamentals
Operators
Control Flow
Arrays
Functions
Objects
Prototypes
Patterns To Create Objects
Error Handling
Miscellaneous Objects
Debugging in Chrome
Shopping Cart Project: Putting All Together
ES6: Features with their Syntax
Modules
Class
Symbols
Iterators & Generators
Promises
Maps & Sets
Extensions of Built-in Objects
Reflect API
Proxy API
ES7: New Features
ES8: New Features
ES9: New Features
World Weather Project: Putting All Together
Course Roundup and many more...
This course will assist:
In becoming an proficient 'JavaScript Developer' and
Inclining towards the learning/ understanding of any client/ server side programming language.
Why JavaScript?
JavaScript (JS) is a lightweight, interpreted or JIT compiled programming language with first-class functions. Most well-known as the scripting language for Web pages, many non-browser environments also use it, such as Node.js and Apache CouchDB. JS is a prototype-based, multi-paradigm, dynamic scripting language, supporting object-oriented, imperative, and declarative (e.g. functional programming) styles.
The standard for JavaScript is ECMAScript. As of 2012, all modern browsers fully support ECMAScript 5.1. Older browsers support at least ECMAScript 3. On June 17, 2015, ECMA International published the 6th major version of ECMAScript, ECMAScript 2015. Since then, ECMAScript standards are on yearly release cycles. This course covers up to the latest version of JavaScript, which is currently ECMAScript 2019.
Why we should learn JavaScript & the reasons are:
Open Source Language: Freely Available.
Much more than Scripting programming language.
Scalability and Performance Features.
Evolving steadily & ES6 represents the BEST !!!
Much JavaScript-related innovation in the Market.
Base of most of the frameworks like Angular.
Supported by a broad coalition of companies.
Who this course is for:
Be a JS Ninja by understanding the most popular programming language in the world viz. JavaScript.
Newcomer as well as experienced having the experience with JavaScript (ES5/ ES6) and know the basics of the language.
Understanding the new Features and Additions, brought by ES6 (including ES5) to JavaScript.
Understand the basics to move head with the popular libraries/frameworks like jQuery, React, Angular or NodeJS.
Understand how JavaScript actually works internally. Less
You're looking for a complete Artificial Neural Ne... Moretwork (ANN) course that teaches you everything you need to create a Neural Network model in R, right?
You've found the right Neural Networks course!
After completing this course you will be able to:
Identify the business problem which can be solved using Neural network Models.
Have a clear understanding of Advanced Neural network concepts such as Gradient Descent, forward and Backward Propagation etc.
Create Neural network models in R using Keras and Tensorflow libraries and analyze their results.
Confidently practice, discuss and understand Deep Learning concepts
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Neural networks course.
If you are a business Analyst or an executive, or a student who wants to learn and apply Deep learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the most advanced concepts of Neural networks and their implementation in R Studio without getting too Mathematical.
Why should you choose this course?
This course covers all the steps that one should take to create a predictive model using Neural Networks.
Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model . And after running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the business.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Deep learning techniques and we have used our experience to include the practical aspects of data analysis in this course
We are also the creators of some of the most popular online courses - with over 250,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman - Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Practice test, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take practice test to check your understanding of concepts. There is a final practical assignment for you to practically implement your learning.
What is covered in this course?
This course teaches you all the steps of creating a Neural network based model i.e. a Deep Learning model, to solve business problems.
Below are the course contents of this course on ANN:
Part 1 - Setting up R studio and R Crash course
This part gets you started with R.
This section will help you set up the R and R studio on your system and it'll teach you how to perform some basic operations in R.
Part 2 - Theoretical Concepts
This part will give you a solid understanding of concepts involved in Neural Networks.
In this section you will learn about the single cells or Perceptrons and how Perceptrons are stacked to create a network architecture. Once architecture is set, we understand the Gradient descent algorithm to find the minima of a function and learn how this is used to optimize our network model.
Part 3 - Creating Regression and Classification ANN model in R
In this part you will learn how to create ANN models in R Studio.
We will start this section by creating an ANN model using Sequential API to solve a classification problem. We learn how to define network architecture, configure the model and train the model. Then we evaluate the performance of our trained model and use it to predict on new data. We also solve a regression problem in which we try to predict house prices in a location. We will also cover how to create complex ANN architectures using functional API. Lastly we learn how to save and restore models.
We also understand the importance of libraries such as Keras and TensorFlow in this part.
Part 4 - Data Preprocessing
In this part you will learn what actions you need to take to prepare Data for the analysis, these steps are very important for creating a meaningful.
In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split.
Part 5 - Classic ML technique - Linear Regression
This section starts with simple linear regression and then covers multiple linear regression.
We have covered the basic theory behind each concept without getting too mathematical about it so that you
understand where the concept is coming from and how it is important. But even if you don't understand
it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.
We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results and how do we finally interpret the result to find out the answer to a business problem.
By the end of this course, your confidence in creating a Neural Network model in R will soar. You'll have a thorough understanding of how to use ANN to create predictive models and solve business problems.
Go ahead and click the enroll button, and I'll see you in lesson 1!
Cheers
Start-Tech Academy
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Below are some popular FAQs of students who want to start their Deep learning journey-
Why use R for Deep Learning?
Understanding R is one of the valuable skills needed for a career in Machine Learning. Below are some reasons why you should learn Deep learning in R
1. It’s a popular language for Machine Learning at top tech firms. Almost all of them hire data scientists who use R. Facebook, for example, uses R to do behavioral analysis with user post data. Google uses R to assess ad effectiveness and make economic forecasts. And by the way, it’s not just tech firms: R is in use at analysis and consulting firms, banks and other financial institutions, academic institutions and research labs, and pretty much everywhere else data needs analyzing and visualizing.
2. Learning the data science basics is arguably easier in R. R has a big advantage: it was designed specifically with data manipulation and analysis in mind.
3. Amazing packages that make your life easier. Because R was designed with statistical analysis in mind, it has a fantastic ecosystem of packages and other resources that are great for data science.
4. Robust, growing community of data scientists and statisticians. As the field of data science has exploded, R has exploded with it, becoming one of the fastest-growing languages in the world (as measured by StackOverflow). That means it’s easy to find answers to questions and community guidance as you work your way through projects in R.
5. Put another tool in your toolkit. No one language is going to be the right tool for every job. Adding R to your repertoire will make some projects easier – and of course, it’ll also make you a more flexible and marketable employee when you’re looking for jobs in data science.
What is the difference between Data Mining, Machine Learning, and Deep Learning?
Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions.
Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning.
Who this course is for:
People pursuing a career in data science
Working Professionals beginning their Neural Network journey
Statisticians needing more practical experience
Anyone curious to master ANN from Beginner level in short span of time Less
