Real-Life Data Science Exercises Included – Course by SuperDataScience

Level: Beginner
Duration: 21 hours; self-paced
Delivery: Online
Certification: Yes
Cost: 200
Course Provider: SuperDataScience


In this 21-hour course you’ll learn how to clean and prepare your data for analysis, how to perform basic visualisation of your data, how to model, curve-fit and present your data. You will also learn about SQL, SSIS, Tableau and Gretl.

The course comes with 3 bonus articles, lifetime access, a certificate of completion and a lot of practical exercises to help with your real-world understanding of data science.

Training Course Content

Welcome to Data Science A-Z™

  • What is Data Science? – 5 Lectures


Part 1: Visualisation – 1 Lecture

  • Introduction to Tableau – 10 Lectures
  • How to use Tableau for Data Mining – 9 Lectures
  • Advanced Data Mining with Tableau – 11 Lectures


Part 2: Modelling 1 Lecture

  • Stats Refresher – 6 Lectures
  • Simple Linear Regression – 6 Lectures
  • Multiple Linear Regression – 10 Lectures
  • Logistic Regression – 8 Lectures
  • Building a robust geodemographic segmentation model – 10 lectures
  • Assessing your model – 10 Lectures
  • Drawing insights from your model – 7 Lectures
  • Model maintenance – 5 Lectures


Part 3: Data Preparation – 1 Lecture

  • Business Intelligence (BI) Tools – 8 Lectures
  • ETL Phase 1: Data Wrangling before the Load – 6 Lectures
  • ETL Phase 2: Step-by-step guide to uploading data using SSIS – 7 Lectures
  • Handling errors during ETL (Phases 1 & 2) – 16 Lectures
  • SQL Programming for Data Science – 17 Lectures
  • ETL Phase 3: Data Wrangling after the load – 16 Lectures
  • Handling errors during ETL (Phase 3) – 12 Lectures


Part 4: Communication – 1 Lecture

  • Working with people – 8 Lectures
  • Presenting for Data Scientists – 11 Lectures
  • Homework Solutions – 6 Lectures
  • Bonus Lectures – 1 Lecture

Who Is It For?

People with at least some basic understanding of statistical modelling and data science fundamentals

  • 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



About the Provider

Kirill Eremenko teaches courses in two distinct Business areas on Udemy: Data Science and Forex Trading. He is a Data Science management consultant with over five years of experience in finance, retail, transport and other industries, trained at Deloitte Australia. He now leverages Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes.

He combines real-life experience and his academic background in Physics and Mathematics to deliver step-by-step coaching in the space of Data Science. He is also passionate about public speaking, and regularly presents on Big Data at leading Australian universities and industry events.

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User Reviews

· November 1, 2018

4 oustanding modules filled with a ton of great content. They've converted me as a customer for life.

· November 8, 2018

What I like about this course is the practicality. Definitely made for hands on users.

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