[100% OFF] Practical Django With Python | Launch Your Startup Today Free
Hi ! i'm a freelancer from India
you might have subscribed to online courses earlier which mess up with lot of boring theory explanations,
and this course is completely different.we will learn the amazing framework(django) practically, it just turns your idea into a startup
django is a kind of framework, where we can do the same thing in different ways, so as per my freelancing experience i will choose only one way to do a particular task. so in this course i will be explaining you my best practices that i do instead of explaining all the possible ways .this is the reason i reduced this course from 24 hours to nearly 4 hours removing all unnecessary stuff, this is just to make you learn quicker.
everything is explained in simple English, instead of using Hi-Fi vocabulary and technical terms. so that it will be completely beginner friendly.
Henry Harvin v/s Rest of the World: Why I Enroll H... Moreere?
#1: Learn to develop Research Paper & Earn Online!
#2: Skill to Research and Translate into Reports
#3: Experience of Professional Research Paper Writing
#4: Develop essential Language Skills for Research Paper Writing for International Clients
#5: Website Making Skills to create Basic Website and Personal Blog
#6: Graphic Skills to design Newsletters, PPT, Logo etc
#7: Gain Advanced Research Skills that enables to Write on Any Topic
#8: Skill to Identify Target Audience Persona for your Content
#9: Know how to Get Freelance projects from India, US, UK and avoid risk of bad debt in international payment
Broadly, What is the Course Curriculum?
Module 1: Essential Skills
Module 2: Language Skills
Module 3: Internet Skills (Research, Keyword Planning, Graphic, Website Making)
Module 4: Research Paper Writing
Why Learn Content Writing on First Place?
Following are the Top 8 Target Groups who learn content writing. Checkout below why they learn!
Digital Marketers / Marketers / Sales / Business Development professionals eradicate the problem of saturation and poor growth in career by leveraging upon the new skillset gained through this course
Existing entrepreneurs/business owners can scale up their business to next level by penetrating into new markets, audience segments, geographies and products through the power of content and internet
Professors / Teachers / Trainers acquire necessary skills to showcase their proficiency on the internet, develop new content types, gain recognition online, build alternate source of income etc
Bloggers / Content Writers get a tangible proof to showcase their existing proficiency, diversify to new content types and learn new things
Housewives / Retired / Unemployed individuals can start earning decent amount based on part-time/fulltime/ work-from-home/freelance opportunities available in abundance
Aspiring entrepreneurs can start their startup journey by leveraging on skills gained through this course
Professionals / Corporates can brand themselves as industry thought leaders and domain experts by start writing on their subject at public forums, blogs, social media etc
Students get the opportunity to acquire Internships, Placements and Projects based on their professional content writing, marketing and strategy skills. Additionally, they can start earning full-time/part-time by taking up freelancing projects, work-from-home projects and can start working on their entrepreneurial journey
Who this course is for:
Digital Marketers / Marketers / Sales / Business Development professional
Existing entrepreneurs/business owners looking to scale up their business
Professors / Teachers / Trainers
Bloggers / Content Writers
Housewives / Retired / Unemployed individuals
Professionals / Corporates
This AWS Certified Solutions Architect Associate P... Moreractice Exam Course covers EVERYTHING you need to pass the exam on your first try
About this Practice Exam:
With the help of this practice exam for the Certification of AWS Certified Solutions Architect - Associate, students will gain the Practice test of SAA-C01. The training test, in view of the real test, includes 390 inquiries. In the genuine test, you will be required to finish these inquiries inside 130 minutes.
Effectively prove information on the most proficient method to deploy and architect robust and secure applications on AWS technologies
Explain an answer utilizing engineering structure standards dependent on client prerequisites.
Give usage direction dependent on best practices to the association for the duration of the existing pattern of the project
This practice exam will prepare you for AWS Certified Solutions Architect - Associate Certification.
Abilities Validated by the Certification
Effectively demonstrate knowledge of how to architect and deploy secure and robust applications on AWS technologies
Define a solution using architectural design principles based on customer requirements
Provide implementation guidance based on best practices to the organization throughout the life cycle of the project
Recommended Knowledge and Experience
Hands-on experience using compute, networking, storage, and database AWS services
Hands-on experience with AWS deployment and management services
Ability to identify and define technical requirements for an AWS-based application
Ability to identify which AWS services meet a given technical requirement
Knowledge of recommended best practices for building secure and reliable applications on the AWS platform
An understanding of the basic architectural principles of building on the AWS Cloud
An understanding of the AWS global infrastructure
An understanding of network technologies as they relate to AWS
An understanding of security features and tools that AWS provides and how they relate to traditional services
Who this course is for:
Solutions Architecters Less
This course will help you learn the basics as well... More as advanced levels of concepts and applications in Adobe Illustrator CC 2020. It covers real world applications of:
1. Logo Design
2. Packaging Design & 3D Mock-Up
3. Typography and Color Theory
4. Social Media Posting
Also, the tools of Adobe Illustrator have been thoroughly explained that will help you in creating the designs with much ease.
Salient Features of this Course:
A comprehensive course consisting of 179 video lectures that are organized in a pedagogical sequence.
Detailed explanation of all tools and commands used in the course.
Step-by-step instructions to guide the users through the learning process.
You will get a Certificate of Completion after completing the course. Less
Web development basics with HTML
Cascading Style Sheets (CSS)
We will work on 3 class projects throughout this course:
Simple text site - We will use what we learned in the HTML sections to create a simple text site. This project will help you learn HTML structure and the essential elements.
Fallout inspired Pip-Boy - We will take what we learned in the CSS and Bootstrap sections of the course to code a Pip-Boy from the game Fallout. This project will help you learn the design elements of modern web development.
This course covers the most popular web development frameworks, and will get you started on your path towards becoming a full-stack web developer!
Still not sold? Check out a few of the awesome reviews this course has received!
"Excellent Course! Highly Recommend It! Such a great hands on experience with this course."
"Very nice course, covers all the stuff you need, good voice and good explanation makes it perfect for people that are new to HTML. Also there's some best practices recommendations which are useful even for advanced developers."
"Excellence in giving the optimal set of tools for web development beginners seeking a well-rounded start for professional web development."
Thank you for taking the time to read this, and we hope to see you in the course!
Who this course is for:
Anyone who would like to learn front-end web development 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
What are the chart types I will learn in this cour... Morese?
Excel offers the following major chart types. All of these are covered in this course
XY (Scatter) Chart
And many other creative ones :)
How are charts useful in Excel?
A chart is a tool you can use in Excel to communicate data graphically. Charts allow your audience to see the meaning behind the numbers, and they make showing comparisons and trends much easier.
What are the benefits of using charts in Excel?
Excel charts allow spreadsheet administrators to create visualizations of data sets. By highlighting a set of data within an Excel spreadsheet and feeding it into the charting tool, users can easily create various types of charts in which the data is displayed in a graphical way.
This course will answer all the questions that would pop up while you set to visualize your data using Excel charts such as:
How do you make Excel charts look better?
How do you format a chart in Excel?
What are the different elements of charts?
How do I make those awesome infographics that I see in fancy magazines and TV reports?
How do I create a comparison chart in Excel?
What is the best chart to use for comparison?
And many more...
How is this course different from other resources available online?
Most courses cover only teach how to draw different types of charts in Excel. The main point is missed. The main point of creating a chart is that you want to convey a message or tell a story using the chart. In this course, once you have learnt all the charting tools, you will also learn how you should create a chart. How you can highlight your message and avoid clutter in the chart, so that when your audience looks at the chart, the message is clearly conveyed to them.
Who this course is for:
Anyone curious to master charts in excel from beginner to advanced in short span of time 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
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!
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
This course focuses on one of the main branches of... More Machine Learning that is Supervised Learning in Python. If you are not familiar with Python, there is nothing to worry about because the Lectures comprising the Python Libraries will train you enough and will make you comfortable with the programming language.
The course is divided into two sections, in the first section, you will be having lectures about Python and the fundamental libraries like Numpy, Pandas, Seaborn, Scikit-Learn and Tensorflow that are necessary for one to be familiar with before putting his hands-on Supervised Machine Learning.
Then is the Supervised Learning part, which basically comprises three main chapters Regression, Classification, and Deep Learning, each chapter is thoroughly explained, both theoretically and experimentally.
During all of these lectures, we’ll be learning how to use the different machine learning algorithms to create some mind-blowing modules of Machine Learning, and at the end of the course, you’ll be trained enough that you would be able to develop you own Recognitions Systems and Prediction Models and many more.
Let's get started!
Who this course is for:
Those who are interested in AI and Machine Learning
Those who have basic knowledge of any programming language
Those who want to be create awesome Machine Learning and AI modules
And those who want to earn some handsome amount of money from Machine Learning Field in Future Less
Explore more about using Flexbox with examples and... More sample code to get you coding.
Flexbox is a one-dimensional layout method for laying out items in rows or columns. Items flex to fill additional space and shrink to fit into smaller spaces
Please note that the scope of this course using CSS Flexbox. If you are looking for a more detailed CSS course this course is not for you. Simple course with limited scope designed to be topic specific.
Taught by an instructor with over 20 years of Web Development experience.
If you've been looking to get started with CSS Flexbox - THIS COURSE IS FOR YOU!!!!
Nothing to lose - Fast friendly support is always available to help if you need it.
Who this course is for:
Anyone who is building a website
Webmasters and web coders creating web content 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
Jump straight in by coding a snake game and learn the fun way!
You will get experience using:
Snake is a nice, simple game that includes many fundamental elements that you will find in many games. It is the ideal first game to code.
The game includes:
Game over handling
I hope you enjoy the course!
Who this course is for:
Learn the most important Skill of 2020, Graphic de... Moresign in Figma in just an Hour!
Taught by a Professional Web Designer who has his own multiple startups.
Figma is the best tool to start your design career and fill your Passion for design.
With it you can do UI UX Design, Graphical User Interface, Web Design, Wireframe, User Interface, Icon, Logo design, Graphic Design all in Figma!
It is simple to use, is portable, ultra-light, and has amazing features to give your creativity wings!
You will know why Figma is much better than other Softwares and why you should be using it to help you become a better designer, SO you keep designing and leave the worries to Figma! 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
Learn how to create and manage Kubernetes using on... Moree of the leading managed services on the market.
Azure Kubernetes Service Zero to Hero admin guide is an intermediate course which describes:
Comparison of Managed vs self-managed Kubernetes solutions;
Pros and Cons of Managed Kubernetes services;
AKS Capacity Analysis;
Detailed AKS network architecture;
How to create an AKS cluster using Azure Portal and Azure CLI;
Integrate AKS with Active Directory;
Create Kubernetes users using self-signed certificates;
How AKS creates and manages Azure storage resources;
AKS monitoring and log debugging.
Who this course is for:
Fearless Kubernetes administrators. Less
If you would like to learn Python 3 programming in... More 2020, you are going to LOVE this course! Get started with the most beginner friendly programming language and start writing your very own programs today!
We will cover the following topics in this course:
Introduction to Python and setup
Python programming basics
Functions - coding exercises
Lists, tuples and dictionaries
Files in Python 3
Object oriented programming
Date & time
Interacting with HTTP
Networking in Python 3
E-mails, PDFs, images
This course was designed for absolute beginners who wish to master the Python programming language. All lectures are downloadable for offline viewing. English subtitles and a certificate of completion are are available as well.
Thank you for taking the time to read this and we hope to see you in the course!
Who this course is for:
Students interested in learning the Python programming language.
Students who wish to pursue a career in software development. Less
MERN stands for MongoDB, Express.js, React.js and ... MoreNode.js - and combined, these four technologies allow you to build amazing web applications
In this course we will be building FULL FLEDGED INSTAGRAM website and it will be a lots of fun as we building this together.
This course covers -
Building an backend API with Node.js & Express
Testing API using Postman
JWT based authentication
Context API for state management
React Router hooks
Protecting routes or endpoints
Forgot & Reset Password
This course is NOT an introduction course to React & Node js. It is fully hands on course for building full stacks websites using MERN Less
Although this course is for beginners, the knowled... Morege it provides is really advanced.
It is full of tips and tricks as well as tested methods that will make you an expert in digital marketing and online advertising.
Its curiculim includes:
Each section of the course is a step by step guide that not only gives you usefull instructions about the topic it addresses but also tried methods that you can easily use to bring profits to your business and to be a successful digital marketing professional. Less
Are you a company or a IT administrator, data cent... Moreer architect, consultant, enterprise architect, data protection officer, programmer, data security specialist, or big data analyst and want to gain fundamental and intermediate level skills and enjoy a fascinating high paying career?
Or maybe you just want to learn additional tips and techniques taking to a whole new level?
Welcome to Machine Learning, Reinforcement Learning and AWS course For Beginners - A one of its kind course!
The flipped classroom model with hand-on learning will help you experience direct into the course as your begin your learning journey. Be sure to watch the preview lectures that set course expectations!
In this course, you'll learn and practice:
Machine Learning topics
Machine Learning Services in AWS
Understand best practices, and much more....
You will also get complete resources, toolkit, and code where applicable with this course! We've built this course with our Team ClayDesk of industry recognized developers and consultants to bring you the best of everything!
So, if you would like to:
- start your freelancing career and consult companies, this course is for you
- gain marketable skills as an IT expert and professional, this course is for you
- This course is not designed for advanced level students
...this Machine Learning, Reinforcement Learning and AWS course is exactly what you need, and more. (You’ll even get a certification of completion)
See what our students say “It is such a solid course that covers all important areas of machine learning, and I now know hoe to predict future products based on their features. Simply awesome!.” - Alex Neuman
“This is such an awesome course. I loved every bit of it – Wonderful learning experience!” Ankit Goring.
Join thousands of other students and share valuable experience
Why take this course?
As an enterprise architect consulting with global companies, technology evangelist, and brand innovator, I have designed, created, and implemented enterprise level projects, I am excited to share my knowledge and transfer skills to my students.
Enroll now in Machine Learning, Reinforcement Learning and AWS today and revolutionize your learning. Stay at the cutting edge of Machine Learning and Data Science —and enjoy bigger, brighter opportunities with AWS.
Who this course is for:
Beginner IT professionals who want to get in the forefront of the Artificial Intelligence and Machine Learning game
Anyone who is curios about machine learning Less
***SQL course which gained immediate popularity wi... Moreth the launch on UDEMY***
***Continuously being updated with new topics/videos every week***
***Added lecture SQL vs NOSQL*** > 19 Dec 2019 (under Interview Section)
***Added Interview Section*** > 15 Dec 2019
*** Added lecture Most Important SQL Queries*** > 15 Dec 2019
***Added lecture What is VIEW?*** > 15 Dec 2019
You need to learn the most important and powerful language of the database world - SQL which makes your programming skills complete and enriched in just less than 20 hours of study!
If you have already wasted your time and money in hunting for a complete yet concise course in SQL through random youtube videos or offered by inexperienced people - then you are at the right place here. This course brings step-by-step lessons in its logical series of videos to help you master the art and science of SQL. Moreover there is not even a basic knowledge of programming envisaged while designing this course.
This course has been brought by an highly experienced faculty who have had 20+ years of experience in working as Oracle developer and DBA out of which 6 years onside in USA and UK. The faculty has been working in Oracle field ranging from Oracle version 6 to the latest 19C.
This course is for everybody who likes to make career in database programming, front end programming, ERP, or in general succeed as an IT professional, management people and undergraduate students of any stream. This course is covered on Oracle's LiveSQL platform available on web hence does not require any local installation of Oracle, yet the students can practice on latest version, the current is Oracle 19C. Being on web, students can learn, take notes or do practice sitting anywhere as Oracle LiveSQL is accessible on all the devices - PC, Laptops or even Mobiles.
Who this course is for:
Students interested in database back end programming
Programmers in any other front end language like Java or PHP or Python etc, must learn SQL
Engineering students, Computer Science students, Science / Commerce students - All pursuing UG or PG or completed with degree
Management people who are required to draw ad-hoc data as per requirement Less