Learning Path

Become a Data Scientist

A true data scientist is someone who can define a problem statement that can be solved using data and then successfully solve it using the knowledge and expert skills in data mining, cleaning, analyzing, and interpreting.

10 Courses
135 Hours
23 Case studies
Lifetime access to course Content

Market Opportunity

Fueled by big data and AI, demand for data science skills is growing exponentially, according to job sites with an average increase of 29% year over year. The supply of skilled applicants, however, is growing at a slower pace – searches by job seekers skilled in data science grow on average by 14% year over year.

Career Opportunity

Data scientists earn base salaries up to 36% higher than other predictive analytics professionals: at level 1, data scientists with a Ph.D. earn a median base salary of $102,000 while those with a Master’s degree earn a median base salary of $92,500.

Highly demanded

What You Will Learn

Data Scientist

You will learn so much, you will be the next Data Science Unicorn. Everything you will learn is transferred into amazing video tutorials that will teach even a horse how to run a successful Data Science Lab. That’s no joke, read about the horse Jakob in our Blog. Also, learn these:

  • 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

Estimated time 2 Months — At 5-10hours/week

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Data Science A-Z™: Real-Life Data Science Exercises Included
21 hours
Data Science for Business | 6 Real-world Case Studies
12 hours
Statistics for Business Analytics and Data Science A-Z™
7 hours
Gain statistical knowledge
Improve visualisation skills
Python for Statistical Analysis
8 hours
Tableau 2018 Advanced Training: Master Tableau in Data Science
9 hours
Tableau 2018: Hands-On Tableau Training For Data Science!
8 hours
Machine Learning Classification Bootcamp in Python
11 hours
Machine Learning Regression Masterclass in Python
10 hours
Machine Learning Practical: 6 Real-World Application
8 hours
Machine Learning A-Z™: Hands-On Python & R In Data Science
41 hours

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