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

Hide Details
Data Science A-Z™: Real-Life Data Science Exercises Included
1
21 hours
Data Science for Business | 6 Real-world Case Studies
2
12 hours
Statistics for Business Analytics and Data Science A-Z™
2
7 hours
Gain statistical knowledge
Improve visualisation skills
Python for Statistical Analysis
3
8 hours
Tableau 2018 Advanced Training: Master Tableau in Data Science
3
9 hours
Tableau 2018: Hands-On Tableau Training For Data Science!
2
8 hours
Machine Learning Classification Bootcamp in Python
6
11 hours
Machine Learning Regression Masterclass in Python
5
10 hours
Machine Learning Practical: 6 Real-World Application
4
8 hours
Machine Learning A-Z™: Hands-On Python & R In Data Science
3
41 hours

Other Learning Path

The new powerful tool that will guide you on your educational journey and empower your career with Data Science.

Machine Learning Skill Track

A machine learning (ML) engineer is an expert on using data to training models. The models are then used to automate processes like image classification, speech recognition, and market forecasting.

Learn More

Become an Artificial Intelligence (AI) Engineer

An AI engineer builds AI models using machine learning algorithms and deep learning neural networks to draw business insights, which can be used to make business decisions.

Learn More

Tensorflow 2.0 Skill Track

A TensorFlow specialist utilizes the vast knowledge of the TensorFlow library to create everything from neural networks to chat bots as a means to solve a myriad of problems in data science.

Learn More

Become a Deep Learning Engineer

A Deep Learning engineer builds models using deep learning neural networks to draw business insights, which can be used to make business decisions.

Learn More