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.

17 Courses
173 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 2022 Advanced: Master Tableau in Data Science
9 hours
Tableau 2022 A-Z: 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™: Python & R in Data Science [2023]
41 hours
Docker Masterclass for Machine Learning and Data Science
4 hours
Hands-on Data Visualization With Python
8 hours
Modern Artificial Intellifence with Zero Code
9 hours
No-Code Machine Learning: Practical Guide to Modern ML Tools
6 hours
Mathematical Foundations of Machine Learning
14 hours

Learning Path – Data Scientist

Technically, data scientists are geniuses because they find a problem, define it as a statement and then, go ahead to solve the problem using their deep knowledge and expertise in data mining, analysis, and interpretation.

What Are the Benefits of Taking a Data Science Course?

  • An inclination into a huge market opportunity: Data science has a huge market with the demand for data science skills growing and increasing every year. However, what data science lacks is the supply to meet this demand. And here lies your opportunity.
  • A chance at one of the most versatile fields: A typical data science roadmap covers everything from statistical methods to machine learning to data mining, analysis, interpretation, and visualization. Taking a course in data science, therefore, represents taking a deep bite at any of the above chunks.
  • A chance at a lucrative career: Data scientists through constant learning can have an awesome career.
  • An easier way to work: While many in the IoT space find it sometimes challenging working with data, a data scientist is blessed with an easy way to work with data to save both time and money.

Why Should You Choose to Study with Us?

Many others are offering numerous data science courses but you will find us better preferred in your data science learning path because:

  • We are all about data, its science, and everything it stands for and we love it too. We have found a unique way to transfer the love and knowledge to you as well
  • We cover everything; from how to use statistical methods and several models to how to mine and visualize data
  • Almost all our classes are hands-on with real-world applications and exercises
  • With us, you will spend only about 2 Months (carefully divided into 5-10 hours/week) before you become a full-blown data scientist
  • Our learning path is specially designed to illustrate an easy roadmap for data scientists, and we try to make sure you improve upon any skills you initially had.

How Does This Course Benefit Your Career?

A data scientist path may not be the easiest, yet a course that turns one into a data scientist should not be the hardest either. This is why we believe our data science course will benefit you in many ways including:

  • Provide you with the quickest route to take from beginner to professional data scientist
  • Afford you the chance to learn other models or methods you may have earlier missed out on
  • Utilize free software versions on this easy journey to self-improvement
  • Work and learn with seasoned professionals who will teach you enough to run your own Data Science Lab

What Will Be Covered in This Data Science Learning Path?

We know that the path to becoming a data scientist can be very complicated, hence, we have broken down what will be covered as follows:

  1. How to mine data, and then create basic visualization with that data using Tableau.
  2. How to understand, and use the Chi-squared statistical test with real-world applications, and exercises.
  3. How to work with methods such as Ordinary Least Squares method.
  4. How to create, and build models such as the R-squared model.

And these are not everything.  Why don’t you join in to get started?

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