Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2025]
Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!
Product Brand: Udemy
4.5
Udemy Coupon Code for Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2025] Course. Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!
Created by Kirill Eremenko, SuperDataScience Team, Ligency Team | 21 hours on-demand video course
Data Science Course Overview
Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2025]
This Data Science A-Z 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 Data Science A-Z: Hands-On Exercises & ChatGPT Prize 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.
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
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Data Science Course Reviews
Everything You Need to Know About Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2025]
This course is a comprehensive and well-structured introduction to Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2025]. The instructor, Kirill Eremenko is a leading expert in the field with a wealth of experience in Development to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to Data Science. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2025]. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.