Data Science A-Z: Real-Life Data Science Exercises Included
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Data Science A-Z: Real-Life Data Science Exercises Included at UDEMY Overview
Duration | 21 hours |
Total fee | ₹649 |
Mode of learning | Online |
Credential | Certificate |
Data Science A-Z: Real-Life Data Science Exercises Included at UDEMY Highlights
- Earn a certificate of completion from Udemy
- Learn from 7 articles
- Get full lifetime access of the course material
- Comes with 30 days money back guarantee
Data Science A-Z: Real-Life Data Science Exercises Included at UDEMY Course details
- For Anybody with an interest in Data Science
- For Anybody who wants to improve their data mining skills
- For Anybody who wants to improve their statistical modelling skills
- For Anybody who wants to improve their data preparation skills
- For Anybody who wants to improve their Data Science presentation skills
- Create Basic Tableau Visualisations
- Perform Data Mining in Tableau
- Understand how to apply the Chi-Squared statistical test
- Apply Ordinary Least Squares method to Create Linear Regressions
- Assess R-Squared for all types of models
- Assess the Adjusted R-Squared for all types of models
- Create a Simple Linear Regression (SLR)
- Create a Multiple Linear Regression (MLR)
- Create Dummy Variables
- In this course you will experience firsthand all of the PAIN a Data Scientist goes through on a daily basis
- This course will give you a full overview of the Data Science journey
- This course will give you so much practical exercises that real world will seem like a piece of cake when you graduate this class
- This course has homework exercises that are so thought provoking and challenging that you will want to cry... But you won't give up! You will crush it
- Using these pathways you can navigate the course and combine sections into your own journey that will get you the skills that you need
Data Science A-Z: Real-Life Data Science Exercises Included at UDEMY Curriculum
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Welcome to Data Science A-Z
What is Data Science?
Intro (what you will learn in this section)
Profession of the future
Areas of Data Science
IMPORTANT: Course Pathways
Part 1: Visualisation
Welcome to Part 1
Introduction to Tableau
Intro (what you will learn in this section)
Installing Tableau Desktop and Tableau Public (FREE)
Challenge description + view data in file
Connecting Tableau to a Data file - CSV file
Navigating Tableau - Measures and Dimensions
Creating a calculated field
Adding colours
Adding labels and formatting
Exporting your worksheet
Section Recap
How to use Tableau for Data Mining
Intro (what you will learn in this section)
Get the Dataset + Project Overview
Connecting Tableau to an Excel File
How to visualise an AB test in Tableau?
Working with Aliases
Adding a Reference Line
Looking for anomalies
Handy trick to validate your approach / data
Section Recap
Advanced Data Mining With Tableau
Intro (what you will learn in this section)
Creating bins & Visualizing distributions
Creating a classification test for a numeric variable
Combining two charts and working with them in Tableau
Validating Tableau Data Mining with a Chi-Squared test
Chi-Squared test when there is more than 2 categories
Visualising Balance and Estimated Salary distribution
Bonus: Chi-Squared Test (Stats Tutorial)
Bonus: Chi-Squared Test Part 2 (Stats Tutorial)
Section Recap
Part Completed
Data Science A-Z: Real-Life Data Science Exercises Included at UDEMY Faculty details
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