Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2024]
- Description
- Curriculum
- FAQ
- Reviews
Extremely Hands-On… Incredibly Practical… Unbelievably Real!
This is not one of those fluffy classes where everything works out just the way it should and your training is smooth sailing. This course throws you into the deep end.
In this course you WILL experience firsthand all of the PAIN a Data Scientist goes through on a daily basis. Corrupt data, anomalies, irregularities – you name it!
This course will give you a full overview of the Data Science journey. Upon completing this course you will know:
- How to clean and prepare your data for analysis
- How to perform basic visualisation of your data
- How to model your data
- How to curve-fit your data
- And finally, how to present your findings and wow the audience
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. In this course you will develop a good understanding of the following tools:
- SQL
- SSIS
- Tableau
- Gretl
This course has pre-planned pathways. Using these pathways you can navigate the course and combine sections into YOUR OWN journey that will get you the skills that YOU need.
Or you can do the whole course and set yourself up for an incredible career in Data Science.
The choice is yours. Join the class and start learning today!
See you inside,
Sincerely,
Kirill Eremenko
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11Intro (what you will learn in this section)
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12Installing Tableau Desktop and Tableau Public (FREE)
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13Challenge description + view data in file
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14Connecting Tableau to a Data file - CSV file
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15Navigating Tableau - Measures and Dimensions
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16Creating a calculated field
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17Adding colours
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18Adding labels and formatting
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19Exporting your worksheet
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20Section Recap
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21Tableau Basics
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22Intro (what you will learn in this section)
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23Get the Dataset + Project Overview
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24Connecting Tableau to an Excel File
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25How to visualise an AB test in Tableau?
Learn how to do an AB test in Tableau with accessible and comprehensive visualization
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26Working with Aliases
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27Adding a Reference Line
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28Looking for anomalies
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29Handy trick to validate your approach / data
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30Section Recap
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31Intro (what you will learn in this section)
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32Creating bins & Visualizing distributions
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33Creating a classification test for a numeric variable
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34Combining two charts and working with them in Tableau
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35Validating Tableau Data Mining with a Chi-Squared test
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36Chi-Squared test when there is more than 2 categories
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37Quick Note
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38Visualising Balance and Estimated Salary distribution
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39Extra: Chi-Squared Test (Stats Tutorial)
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40Extra: Chi-Squared Test Part 2 (Stats Tutorial)
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41Section Recap
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42Part Completed
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56Intro (what you will learn in this section)
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57Get the dataset
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58Assumptions of Linear Regression
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59Dummy Variables
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60Dummy Variable Trap
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61Understanding the P-Value
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62Ways to build a model: BACKWARD, FORWARD, STEPWISE
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63Backward Elimination - Practice time
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64Using Adjusted R-squared to create Robust models
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65Interpreting coefficients of MLR
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66Section Recap
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75Intro (what you will learn in this section)
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76Get the dataset
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77What is geo-demographic segmenation?
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78Let's build the model - first iteration
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79Let's build the model - backward elimination: STEP-BY-STEP
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80Transforming independent variables
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81Creating derived variables
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82Checking for multicollinearity using VIF
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83Correlation Matrix and Multicollinearity Intuition
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84Model is Ready and Section Recap