Career Tracks

Build your data science skillset from the ground up starting with the maths and statistics intuition behind effective data-fueled solutions. Before upskilling in the most in-demand programming language today and diving into Python’s machine learning capabilities. Top off your data science proficiency with relational database management in SQL and deep learning in TensorFlow 2. With a career roadmap from a renowned industry expert and a primer on data product management, you will easily stand out from the data crowd.

10 Courses

Certificate of Achievement

Probability

with Viktor Mehandzhiyski

4.8/5

(602)

4 hours 46 lessons

Python Programmer Bootcamp

with Giles McMullen-Klein

4.9/5

(1600)

11 hours 127 lessons

Mathematics

with Iliya Valchanov

4.8/5

(1059)

1 hour 11 lessons

SQL

with Martin Ganchev and Vladimir Saev

4.9/5

(1883)

8 hours 114 lessons

Machine Learning in Python

with Iliya Valchanov

4.8/5

(699)

5 hours 68 lessons

Deep Learning with TensorFlow 2

with Iskren Vankov and Iliya Valchanov

4.8/5

(363)

5 hours 81 lessons

Statistics

with Iliya Valchanov

4.8/5

(2334)

3 hours 43 lessons

Product Management for AI & Data Science

with Danielle Thé

4.9/5

(271)

5 hours 67 lessons

Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process

with Ken Jee

4.9/5

(395)

4 hours 49 lessons

Introduction to Data and Data Science

with Martin Ganchev and Iliya Valchanov

4.8/5

(6349)

2 hours 22 lessons

Master the ins and outs of data analytics from foundational topics in data management with Excel and SQL to data cleansing and preprocessing using Python’s highly sought-after functionalities – Pandas and Numpy. Complete your analytics toolkit with the full range of data visualization tools you’ll need to become a compelling data storyteller. Featuring insights into the SQL interview process and a tutorial on date and time value manipulation in Python to give you a strong leg up over the competition.

10 Courses

Certificate of Achievement

Data Preprocessing with NumPy

with Viktor Mehandzhiyski

4.9/5

(491)

7 hours 67 lessons

Data Cleaning and Preprocessing with pandas

with Martin Ganchev

4.7/5

(818)

2 hours 27 lessons

Introduction to Excel

with Ned Krastev

4.8/5

(3728)

4 hours 83 lessons

Statistics

with Iliya Valchanov

4.8/5

(2334)

3 hours 43 lessons

SQL

with Martin Ganchev and Vladimir Saev

4.9/5

(1883)

8 hours 114 lessons

Introduction to Python

with Martin Ganchev

4.8/5

(1712)

2 hours 40 lessons

The Complete Data Visualization Course with Python, R, Tableau, and Excel

with Elitsa Kaloyanova

4.9/5

(648)

9 hours 100 lessons

SQL for Data Science Interviews

with Tina Huang

4.9/5

(461)

2 hours 23 lessons

Dates and Times in Python

with Martin Ganchev and Ivan Manov

4.9/5

(139)

2 hours 22 lessons

Introduction to Data and Data Science

with Martin Ganchev and Iliya Valchanov

4.8/5

(6349)

2 hours 22 lessons

Harness the full power of data for business starting with use-case-driven literacy and strategy courses that will enable you to devise and evangelize for data-fueled growth solutions within any organization. Complement your analytic rigor with the technical know-how needed for preparing and visualizing reports using popular tools such as Excel Pivot Tables, Tableau, R, and Python. The elective courses in this track are designed to help you get an edge in business intelligence with practice-heavy introductions to project management and Power BI.

10 Courses

Certificate of Achievement

Data Literacy

with Olivier Maugain

4.8/5

(923)

4 hours 58 lessons

Data Strategy

with Bernard Marr

4.8/5

(1825)

5 hours 81 lessons

Introduction to Excel

with Ned Krastev

4.8/5

(3728)

4 hours 83 lessons

Data Analysis with Excel Pivot Tables

with Ned Krastev

4.8/5

(1946)

1 hour 19 lessons

Advanced Microsoft Excel

with Martin Ganchev and Ned Krastev

4.8/5

(937)

2 hours 32 lessons

Statistics

with Iliya Valchanov

4.8/5

(2334)

3 hours 43 lessons

The Complete Data Visualization Course with Python, R, Tableau, and Excel

with Elitsa Kaloyanova

4.9/5

(648)

9 hours 100 lessons

Introduction to Business Analytics

with Randy Rosseel

4.8/5

(430)

5 hours 54 lessons

Power BI

with Dimitar Shutev

4.8/5

(990)

8 hours 75 lessons

Introduction to Data and Data Science

with Martin Ganchev and Iliya Valchanov

4.8/5

(6349)

2 hours 22 lessons