Realistic Data Science Learning Course With Exercises Included – Full Boot

Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more!

you can download SQL Masterclass: SQL for Data Analytics Torrent

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What you’ll learn From : Data Science A-Z™: Real-Life Data Science Exercises Included Torrent

Successfully perform all steps in a complex Data Science projectCreate Basic Tableau Visualisations
Perform Data Mining in TableauUnderstand how to apply the Chi-Squared statistical test
Apply Ordinary Least Squares method to Create Linear RegressionsAssess R-Squared for all types of models
Assess the Adjusted R-Squared for all types of modelsCreate a Simple Linear Regression (SLR)
Create a Multiple Linear Regression (MLR)Create Dummy Variables
Interpret coefficients of an MLRRead statistical software output for created models
Use Backward Elimination, Forward Selection, and Bidirectional Elimination methods to create statistical modelsCreate a Logistic Regression
Intuitively understand a Logistic RegressionOperate with False Positives and False Negatives and know the difference
Read a Confusion MatrixCreate a Robust Geodemographic Segmentation Model
Transform independent variables for modeling purposesDerive new independent variables for modeling purposes
Check for multicollinearity using VIF and the correlation matrixUnderstand the intuition of multicollinearity
Apply the Cumulative Accuracy Profile (CAP) to assess modelsBuild the CAP curve in Excel
Use Training and Test data to build robust modelsDerive insights from the CAP curve
Understand the Odds RatioDerive business insights from the coefficients of a logistic regression
Understand what model deterioration actually looks likeApply three levels of model maintenance to prevent model deterioration
Install and navigate SQL ServerInstall and navigate Microsoft Visual Studio Shell
Clean data and look for anomaliesUse SQL Server Integration Services (SSIS) to upload data into a database
Create Conditional Splits in SSISDeal with Text Qualifier errors in RAW data
Create Scripts in SQLApply SQL to Data Science projects
Create stored procedures in SQLPresent Data Science projects to stakeholders

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

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

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

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,


Kirill Eremenko

Who 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

Created by Kirill Eremenko, SuperDataScience Team
Last updated 9/2020

Size: 14.81 GB