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Data Science A-Z™: Real-Life Data Science Exercises Included

Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!
4.6
4.6/5
(29,399 reviews)
188,199 students
Created by Kirill Eremenko

9.8

CourseMarks Score®

10.0

Freshness

9.1

Feedback

9.6

Content

Platform: Udemy
Price: $11.99
Video: 21h 13m
Language: English
Next start: On Demand

Top Data Science courses:

Detailed Analysis

CourseMarks Score®

9.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 4/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.1 / 10
We analyzed factors such as the rating (4.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.6 / 10
Video Score: 10.0 / 10
The course includes 21h 13m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 6 hours 34 minutes of 287 Data Science courses on Udemy.
Detail Score: 9.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

7 articles.
0 resource.
0 exercise.
0 test.

Table of contents

Description

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 analysisHow to perform basic visualisation of your dataHow to model your dataHow to curve-fit your dataAnd finally, how to present your findings and wow the audienceThis 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:SQLSSISTableauGretlThis 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

Requirements

• Only a passion for success
• All software used in this course is either available for Free or as a Demo version

You will 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

This course is for

• Anybody with an interest in Data Science
• Anybody who wants to improve their data mining skills
• Anybody who wants to improve their statistical modelling skills
• Anybody who wants to improve their data preparation skills
• Anybody who wants to improve their Data Science presentation skills

How much does the Data Science A-Z™: Real-Life Data Science Exercises Included course cost? Is it worth it?

The course costs $11.99. And currently there is a 87% discount on the original price of the course, which was $94.99. So you save $83 if you enroll the course now.
The average price is $14.9 of 287 Data Science courses. So this course is 20% cheaper than the average Data Science course on Udemy.

Does the Data Science A-Z™: Real-Life Data Science Exercises Included course have a money back guarantee or refund policy?

YES, Data Science A-Z™: Real-Life Data Science Exercises Included has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Data Science A-Z™: Real-Life Data Science Exercises Included course, but there is a $83 discount from the original price ($94.99). So the current price is just $11.99.

Who is the instructor? Is Kirill Eremenko a SCAM or a TRUSTED instructor?

Kirill Eremenko has created 29 courses that got 420197 reviews which are generally positive. Kirill Eremenko has taught 2313128 students and received a 4.5 average review out of 420197 reviews. Depending on the information available, Kirill Eremenko is a TRUSTED instructor.

More info about the instructor, Kirill Eremenko

Data Scientist
My name is Kirill Eremenko and I am super-psyched that you are reading this!Professionally, I am a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and today I leverage Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes.From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. I am also passionate about public speaking, and regularly present on Big Data at leading Australian universities and industry events.To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!

9.8

CourseMarks Score®

10.0

Freshness

9.1

Feedback

9.6

Content

Platform: Udemy
Price: $11.99
Video: 21h 13m
Language: English
Next start: On Demand

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