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 in the right place. You can learn through t... Morehis course how to start, build and implement successful project strategy. You will get advice how to measure and follow-up your project strategy. This will certainly make your current or coming project successful from the beginning.
This course will help you
1. Understand project strategy principles
2. Start your project strategy from zero, linked to enterprise expectation
3. Build successful project strategy according to planned objectives
4. Implement planned and selected strategy into practice
5. Measure your success, recognize problems before failure
6. Avoid mistakes from start until end.
Have you had problems in your project scope, schedule or budget? Have you ever thought there could be better ways to success in projects? Enroll this course to learn more, be more successful and take your projects into next level.
It's important to understand both enterprise and project KPIs (Key Performance Indicators) and how they link to each other for expected outcomes. Project management is a function which will glue together many departments, teams and people for desired outcome. To make your project successful it needs to be strategic.
This course is designed for beginners and more advance project managers or project members. It will also help stakeholders like sponsors to understand how projects fail or success. You can take tips and tricks from this course into your toolbox and create a success! Enroll today!
Who this course is for:
Project team members
Project sponsors/other stakeholders Less
Welcome to the Network Ethical Hacking course!
Ha... Morecking is a science similar to any other science. In this course I am going to show you the basics of hacking which will support you to start by yourself to develop your hacking skills to an advanced level.
This course considers you have No prior knowledge in hacking or in Linux operating system, & by the end of it you'll be able to hack systems like great hackers and keep yourself secured like security experts!
This course is practical but it will not ignore the theory. We will start with Kali Linux basics, then will try to make you comfortable with Linux environment. Then we will learn how to install the needed software (VirtualBox, Kali Linux, Windows 10) as virtual machines then we will start the hacking adventure.
The course is divided into 5 sections, (Introduction, Pre-Attack Phase, Attack Phase, Post-Attack Phase, and How to Keep Yourself Protected).
In Summary, in this course YOU Will LEARN THE FOLLOWING:
- How to prepare the penetration testing lab.
- How to get comfortable with Kali Linux by getting the important required commands.
- How to use Linux commands & how to interact with the command terminal.
- How to change your system MAC address (Spoof) to stay anonymous.
- How to attack any close wireless network and get all details about it (including target network MAC address, SSID, Encryption Type, ...etc).
- How to get the MAC addresses for all clients connected to the target network without even knowing the password of the target router.
- How to Perform (word list) Attacks to get passwords.
- How to perform fake-authentication attack to target router without even knowing the password of the target network.
- How to perform De-Authentication attacks without even knowing the password of the target network.
- How to perform ARP attack without even knowing the password of the target network.
- How to hack wireless networks to step by step.
- How to get Wi-Fi passwords for WEP , WPA and WPA2.
- How to Sniff Data from the network you hacked.
- How to perform ARP spoofing attack to be the man in the middle MITM to intercept user names and passwords.
- How to know who is connected to the network you hacked.
- How to scan network for more details about connected devices.
- How to intercept network traffic.
- How to use many tools, tricks and techniques to hack networks.
-How to generate your own viruses.
- How to hide your virus in any other file extension (jpg, pdf, docx, xlsx..)
- How to gain access to remote computers.
- How to hack Mic, Camera, and Keyboard keys (Key Logger)..
- Many other cool stuff about network hacking.
- How to keep yourself protected from the above mentioned attacks.
*** You will get 3.5 hours of hacking and hacking techniques ***
*** You will start from 0 to reach a good level of understanding and practical use of Linux and hacking tools ***
This course is created for educational purposes only, all the attacks are launched in my own lab or against systems that I have permission to test.
This course is totally a product of Mohammad Hamza Sheikh and no other organization is associated with it or a certification exam. Although, you will receive a Course Completion Certification from Udemy, apart from that NO OTHER ORGANIZATION IS INVOLVED.
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
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
Learning to code can be both fun and rewarding . J... Moreava is a useful ,robust and popular programming language to embark on that journey.
This course is a practical Hands-on course from the first to the last section. The best way to learn is by doing so you will be doing a lot of coding.
Java is a case-sensitive, modern, general-purpose, object-oriented programming language. One of the reasons Java is so popular is that it is platform independent . You only need to write java code once and then run it on any platform be it mac, windows or Linux.
In this course we will create 17 practical and useful projects step by step. The projects include:
Random Number Generator
BMI Calculator Tool
Word Count Tool
Add number program
Program to determine Even numbers
Program to determine Leap Year
Program to calculate area and perimeter of a circle
Program to find highest number
Program to find Prime Numbers
Program to create a triangle
Program to determine largest numbers
This course will guide you through java basics, its core syntax, and the fundamentals of writing strong java code. I will show you how to install Java JDK and NetBeans IDE. Netbeans is a great IDE for developing in java, and then dive into the language itself. Along the way, we will cover topics such as:
Declaring and initializing variables with a variety of data types
Exploring Basic Arithmetic operators
Troubleshoot Compile errors
Controlling flow with conditional code
Creating Event Handler methods
Using Component controls and changing their properties
If java is your first step into programming or adding it your existing skillset, these training videos will help you understand the language and use it to build your own great software. 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
This class covers Flutter and Firebase Real-time D... Moreatabase in more details. The class focuses on CRUD (Create, Read, Update and Delete) of Firebase Real-time Database. Students will learn how to integrate Firebase into flutter applications. Students will also learn how to create, read, update and delete from real-time database in more details. Aside Firebase and database, students will also learn how to design interfaces in flutter, including how to use pop-ups and dialog box in flutter.
Students taking this class should have basic knowledge in programming. Basic knowledge and experience in flutter and/or dart is preferred but not a requirement. Less
Welcome to this Comprehensive Linux Shell Scriptin... Moreg Laser Targeted Course "Updated”.
In short, this is the one stop shop for everything you need to become a Master in Shell Scripting.
With 70+ Long, but Laser Targeted Videos, over 21 packed hours, we will leave no stone unturned.
Are you ready to start your path to becoming a Master in Shell Scripting and learn one of employer's most demanded skills for 2020 and beyond?
This is by far the most comprehensive, yet condensed and straight-forward, course bundle for Linux Shell Scripting on Udemy! Whether you have never had any knowledge on Shell Scripting before, already know some basic skills, or want to learn about the advanced features of Shell Scripting, this is the course you are looking for!
Don’t miss this Limited Time Offer. ACT NOW!
You will Learn by Practice:
By the end of this Unique Course, you will go from #Newbie to #Advanced as a #Shell_Scripting_Expert. Here is what you’ll learn:
Chapter 01 - Introduction
0101 - About this Course
0102 - Course Structure
0103 - What is the UNIX Shell
0104 - Which Shell
0105 - What is a Shell Script
Chapter 02 - Your First Shell Script
0201 - A Basic Script
0202 - The echo Command
0203 - The read Command
0204 - Shell Basics Revisited
0205 - Special Characters
0206 - Comments
0207 - Chapter Exercises
0208 - Exercise Solutions
Chapter 03 - Running a Shell Script
0301 - Running a Script on the Command-line
0302 - Running a Script from within vi
0303 - Your PATH and bin
0304 - Script Interpreters
0305 - CGI Scripts
Chapter 04 - Shell Programming Features
0401 - Shell Variables
0402 - Environment Variables
0403 - The Trouble with Quotes 1
0404 - The Trouble with Quotes 2
0405 - Grouping Commands
0406 - Line Control
0407 - Chapter Exercises
0408 - Exercise Solutions
0409 - Introducing the Course Project
0410 - Course Project Solution
Chapter 05 - Conditional Code
0501 - True and False
0502 - Conditional Command Execution
0503 - The if Statement
0504 - The else Clause
0505 - The elif Clause
0506 - Using test 1
0507 - Using test 2
0508 - Using test 3
0509 - The case Statement
0510 - Chapter Exercises
0511 - Exercise Solutions
Chapter 06 – Loops
0601 - The while Loop
0602 - break and continue
0603 - Numerical Calculations
0604 - The for Loop
0605 - Chapter Exercises
0606 - Exercise Solutions
Chapter 07 - Text Processing
0701 - About Filters
0702 – grep
0703 - Regular Expressions
0704 – sort
0705 – sed
0706 - awk 1
0707 - awk 2
0708 - Chapter Exercises
0709 - Exercise Solutions
Chapter 08 – Functions
0801 - Program Structure
0802 - Defining and Calling a Function
0803 - Function Parameters
0804 - Function Return Values
0805 - Functions in Other Files
0806 - Case Study- The yesno Function
0807 - Chapter Exercises
0808 - Exercise Solutions
Chapter 09 - Command-line Parameters
0901 - Using Command-line Parameters
0902 - Using shift
0903 - Using set - - Command
0904 - Using IFS
0905 - Usage Messages
0906 - Chapter Exercises
0907 - Exercise Solutions
Chapter 10 - Advanced Scripting
1001 – Debugging
1002 - Default Values for Variables
1003 - Temporary Files
1004 - Preventing Abnormal Termination
1005 - Chapter Exercises
1006 - Exercise Solutions
1007 - The End
Chapter 11 - Additional Content Part 1: Exercises and More
1101 – Please download the attached Exercises Files
1102 – Learn EMACS
1103 – Learn VI and Vim
1104 – Very Valuable Documentation
Additional Content Part 2: Grand Finale
Bonus Lectures. Enjoy the Benefits
You could also end up using these skills in your work for Your #Clients, and much more.
You'll Also Get:
✔ Lifetime Access to course updates
✔ Udemy Certificate of Completion Ready for Download
✔ A responsive instructor in the Q&A Section
✔ This courses’ bundle comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back.
So wait no more! Learn Linux Shell Scripting, increase your knowledge, become a Shell Scripting Expert and advance your career all in a fun and practical way!
I really hope you found this course valuable, but either way, please leave a review and share your experience... Less
This is an advanced level course on Arduino. This ... Morecourse is designed for advanced makers. We’ll help you to get started with the basics of creating circuits with the Arduino and Arduino Mega prototyping board. We will show how a Raspberry Pi and Arduino can communicate with each other. By the end of this course, you would have built Security Systems and Access Control with Arduino using Keypad 4x4 and an Employee entry system using Arduino and RFID sensor.
The prerequisite for this course is a basic understanding of electrical and electronic concepts and ability to download and install software on your computer. Along the way, you will learn about programming, sensors, and communications.
The course split into three parts:
Project 1: In this project, we will teach you how to communicate a message from the Arduino to the Raspberry Pi and vice-versa using a USB serial cable.
Project 2: In this project, we teach you how to build an employee entry system using Arduino and RFID sensor module. This project is designed to record the employee details, date and time in PLX-DAQ Spreadsheet to monitor the time and date of entry and exit.
Project 3: This is a security related project. We’ll show you how to make a keypad combination lock. In the project, keypad security system and access control with Arduino can change the combination without reprogramming the Arduino.
If learning by making sounds like the way to go, then this course is for you!
RFID tags are used for everything from credit cards and passports to inventory control and door locks. Everyone should know more than a thing or two about them. With this course, you'll be able to learn how to read, "spoof" and use RFID in both standard and creative ways. Their ubiquitous nature and how little an average citizen knows about them also makes for great science fair and educational projects.
To explain RFID, we can use a key and lock analogy. Instead, of the key having a unique pattern, RFID keys hold a series of unique numbers that are read by the lock. It is up to our Arduino sketch to determine what happens when the lock reads the number. The key is the tag, card or another small device we carry around or have in our life. We will be using a passive key, which is an integrated circuit and a small aerial. It uses power from a magnetic field associated with the sensor.
If you are a technology enthusiast and want to learn the cutting-edge technology, then this is the right course for you.
I will teach you step by step how to go about building this project. I will also share the code with you so that you can replicate the project yourself.
At the end of the course, you'll be fully familiarized with Arduino and ready to build your electronic security system. I look forward to you joining this course. It provides the complete source code of the real time project.
What are you waiting for? Enroll now!
Who this course is for:
People who want to try Arduino and learn about microcontrollers
Makers who have an existing intermediate or better understanding of electronics
Individuals wanting to learn more about RFID applications
Create a strict security system by identifying employees and/or clients, or implement anti-theft devices
Engineering Students - Electronics, Electrical & Computer Science
Electronic Geeks, Hobbiest & Art Students
High School Science Students Less
This course is a skills based journey into app dev... Moreelopment. Throughout this course students will learn the skills necessary to build apps for iOS using Xcode and the Swift Programming Language Less
Would you like to get a job in the field of IT? Do... More you want to become a Linux system administrator but don’t know where to get started? In this course we will begin by covering the very basics of using the Linux operating system, and move on to the advanced system and networking skills necessary to become a Linux administrator! We will cover the following topics in this course:
Command line usage
Development tools including choosing an IDE
Complete Meteor.js web project
LAMP stack setup and app deployment
Enroll now to receive 7.5+ hours of HD video tutorials, lifetime access and a certificate of completion!
This course is fully subtitled in English.
If you are not convinced, here are a few of the glowing reviews this course has received.
"Course starts out with basic commands and works through more advanced commands as it progresses. The course then goes through add on software and applications following demonstrates basic usages of that application. It was easy to follow along on my personal install of Ubuntu by pausing/review the tutorial as needed. I suggest this method than just sitting and watching the course all the way through. This course is much easier than just reading books. Recommend to friends who just started out in Ubuntu."
"Great explanations. Great teacher."
"It's still early in the course but I've learned a lot. Great job so far."
Thank you for taking the time to read this and we hope to see you in the course!
Who this course is for:
Students who want to get started using Linux
Students interested in learning web development
Student who would like to work as a Linux system administrator 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
A full stack developer is a web developer or engin... Moreeer who can develop both the front end and back end of a website or application.
They can tackle projects that involve databases, building user-facing websites, or even work with clients during the planning phase of projects.
Full stack web developers usually have some of the following front end and back end skill sets.
Front End Skills ( This is used to build the client software or application)
Back End Skills ( This is used to build the server software or application)
Python is a programming language. Python can be used on a server to create web applications.
Flask is a Python framework for building lightweight and dynamic web applications. It helps speed up tedious behind-the-scenes development work, such as URL mapping, and offers more control to the developer to build applications
Being a full-stack web developer equips you with the skill set to develop web based projects. You can prototype quickly and switch between front and back end development based on requirements.
Projects we will create:
Todo List Application
URL Shortner Application
Who this course is for:
Beginners to Web Development
Beginners to Python
Beginners to Flask Less
You're looking for a complete Decision tree course... More that teaches you everything you need to create a Decision tree/ Random Forest/ XGBoost model in Python, right?
You've found the right Decision Trees and tree based advanced techniques course!
After completing this course you will be able to:
Identify the business problem which can be solved using Decision tree/ Random Forest/ XGBoost of Machine Learning.
Have a clear understanding of Advanced Decision tree based algorithms such as Random Forest, Bagging, AdaBoost and XGBoost
Create a tree based (Decision tree, Random Forest, Bagging, AdaBoost and XGBoost) model in Python and analyze its result.
Confidently practice, discuss and understand Machine Learning concepts
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course.
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 some of the advanced technique of machine learning, which are Decision tree, Random Forest, Bagging, AdaBoost and XGBoost.
Why should you choose this course?
This course covers all the steps that one should take while solving a business problem through Decision tree.
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 decision tree based model, which are some of the most popular Machine Learning model, to solve business problems.
Below are the course contents of this course on Linear Regression:
Section 1 - 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 2 - Python basic
This section gets you started with Python.
This section will help you set up the python and Jupyter environment on your system and it'll teach you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.
Section 3 - Pre-processing and Simple Decision trees
In this section you will learn what actions you need to take to prepare it 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. In the end we will create and plot a simple Regression decision tree.
Section 4 - Simple Classification Tree
This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python
Section 5, 6 and 7 - Ensemble technique
In this section we will start our discussion about advanced ensemble techniques for Decision trees. Ensembles techniques are used to improve the stability and accuracy of machine learning algorithms. In this course we will discuss Random Forest, Baggind, Gradient Boosting, AdaBoost and XGBoost.
By the end of this course, your confidence in creating a Decision tree model in Python will soar. You'll have a thorough understanding of how to use Decision tree 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 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 Python 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 Python
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 where we actually run each query with you.
Why use Python for data Machine Learning?
Understanding Python is one of the valuable skills needed for a career in Machine Learning.
Though it hasn’t always been, Python is the programming language of choice for data science. Here’s a brief history:
In 2016, it overtook R on Kaggle, the premier platform for data science competitions.
In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most used tools.
In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals.
Machine Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well.
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 Decision Tree technique from Beginner to Advanced in short span of time Less