Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
21 Hour(s) 11 Minute(s)
Language
English
Taught by
Kirill Eremenko, SuperDataScience Team, Ligency
Rating
Course Overview
![Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2026]](https://i.udemycdn.com/course/480x270/513244_b831_4.jpg)
Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!
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
- 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
Course Content
- 10 section(s)
- 217 lecture(s)
- Section 1 Get Excited
- Section 2 What is Data Science?
- Section 3 --------------------------- Part 1: Visualisation ---------------------------
- Section 4 Introduction to Tableau
- Section 5 How to use Tableau for Data Mining
- Section 6 Advanced Data Mining With Tableau
- Section 7 --------------------------- Part 2: Modelling ---------------------------
- Section 8 Stats Refresher
- Section 9 Simple Linear Regression
- Section 10 Multiple Linear Regression
What You’ll Learn
- Successfully perform all steps in a complex Data Science project
- 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
- Interpret coefficients of an MLR
- Read statistical software output for created models
- Use Backward Elimination, Forward Selection, and Bidirectional Elimination methods to create statistical models
- Create a Logistic Regression
- Intuitively understand a Logistic Regression
- Operate with False Positives and False Negatives and know the difference
- Read a Confusion Matrix
- Create a Robust Geodemographic Segmentation Model
- Transform independent variables for modelling purposes
- Derive new independent variables for modelling purposes
- Check for multicollinearity using VIF and the correlation matrix
- Understand the intuition of multicollinearity
- Apply the Cumulative Accuracy Profile (CAP) to assess models
- Build the CAP curve in Excel
- Use Training and Test data to build robust models
- Derive insights from the CAP curve
- Understand the Odds Ratio
- Derive business insights from the coefficients of a logistic regression
- Understand what model deterioration actually looks like
- Apply three levels of model maintenance to prevent model deterioration
- Install and navigate SQL Server
- Install and navigate Microsoft Visual Studio Shell
- Clean data and look for anomalies
- Use SQL Server Integration Services (SSIS) to upload data into a database
- Create Conditional Splits in SSIS
- Deal with Text Qualifier errors in RAW data
- Create Scripts in SQL
- Apply SQL to Data Science projects
- Create stored procedures in SQL
- Present Data Science projects to stakeholders
Skills covered in this course
Reviews
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김김호진
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TTumisang Letamo
so far so great. I like how it teaches step by step by step as am a beginner
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LLuiz AZEVEDO
Muito esclarecedor!
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JJanudi Disara Ranasinghe
Very engaging and hands-on practicals included. The prize makes it more exciting!
