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Les Data Sciences de A à Z

Les Data Sciences de A à Z

Data Science, Business Analytics, Data Analysis, Data Mining, Tableau, Statistics, Modeling, Regression, SQL, SSIS

  • Best SELLER at Udemy.com
  • Created by Kirill Eremenko , Hadelin from Ponteves , SuperDataScience Team
  • 4,927 + students enrolled
  • 903 Review available
  • 19.5 hours on-demand video
  • 1 Article
  • 7 Downloadable Resources
  • Access on Mobile and TV
  • Assignments
  • Certificate of Completion
  • Lifetime Access
  • 30 days Money back guarantee

Take This Online Course

What You will Learn?

  • Perform all the steps of a complex Data Science project correctly
  • Create Visualizations in Tableau
  • Doing Data Mining in Tableau
  • Understand how to apply the chi-square test
  • Apply the Ordinary Least Squares method to make Linear Regressions
  • Evaluate all types of models thanks to the R-Squared
  • Evaluate all types of models thanks to Adjusted R-Squared
  • Create a Simple Linear Regression Model
  • Create a Multiple Linear Regression Model
  • Create Dummy Variables
  • Interpreting the coefficients of Multiple Linear Regression
  • Read Outputs of Linear Regression Models
  • Use Backward Elimination, Forward Selection and Bidirectional Elimination methods to create statistical models
  • Create a Logistic Regression Model
  • Integrate the intuition of Logistic Regression
  • Analyze the False Positives & False Negatives and understand the difference
  • Read a Confusion Matrix
  • Create a Robust Model of Geo-Demographic Segmentation
  • Transform independent variables for modeling
  • Derive independent variables for modeling
  • Check the presence of multicollinearity using VIF (Variance Inflation Factor)
  • Have an intuition of multicollinearity
  • Use the Cumulative Accuracy Profile (CAP) to evaluate models
  • Build the CAP curve in Excel
  • Use the Training Set and the Test Set to build robust models
  • Draw insights from your CAP curve
  • Understanding the Odds Ratio
  • Getting business insights from the coefficients of a Logistics Regression
  • Understand what pattern deterioration looks like
  • Apply three levels of model maintenance to prevent model deterioration
  • Install and use SQL Server
  • Install and use Microsoft Visual Studio Shell
  • Clean up data and look for anomalies
  • Use SQL Server Integration Services (SSIS) to upload your data to a database
  • Create Conditional Splits in SSIS
  • Manage Text Qualifier errors
  • Create scripts in SQL
  • Take advantage of SQL for Data Science projects
  • Create stored procedures in SQL
  • Present Data Science projects to managers or an audience

Online Course Description:


This course is the French translation of the best selling Data Sciences course on Udemy.

Extremely Useful … Incredibly Practical … Ultra Realistic!

It’s not one of those utopian courts where everything works perfectly unrealistically. This course prepares you for the real world.

In this course you will live the real experience of a Data Scientist, and this includes all the difficult moments that he can feel in his daily work: corrupted data, anomalies, irregularities, all the obstacles that the data has to face. scientist!

This course will take you around the world of Data Sciences. At the end of this trip, you will know:

  • How to clean and prepare your data for your analyzes
  • How to visualize your data
  • How to create templates
  • How to make predictions
  • And finally, how to present your discoveries and impress your audience

This course will prepare you so well for the reality of the Data Scientist job that you will be juggling with your various Data Science projects. You will be so well trained and trained that the real world will be child’s play. You will have work to do alone, so provocative and so challenging that they will put you in all your states … But you will not give up! You will win!

In this course you will develop a good command of the following tools:

  • Board
  • SQL
  • SSIS
  • Gretl

This course offers you different approaches prepared for you according to your needs and objectives. Using these approaches, you can navigate the course and combine the sections in YOUR OWN journey that will take you to the skills YOU need.Or of course you can do the whole course and train yourself for an incredible career in Data Science.

The choice is yours. Join us on this journey and start learning today!

See you soon.


Kirill Eremenko & Hadelin from Ponteves

Who is the target audience?
  • Anyone interested in Data Sciences
  • Anyone wishing to improve their data mining skills
  • Anyone wishing to improve their statistical modeling skills
  • Anyone wishing to improve their skills in data preparation
  • Anyone wishing to improve their communication and presentation skills

Take This Online Course