365 Data Science Career Tracks

Your journey in data and AI starts here. Explore the most popular data science career paths and prepare for your desired job.

Start Your Career

What Is Your Desired Data Science Career Path?

AI Engineer

Get Started
Want to know how to become an AI engineer? Our structured AI engineer roadmap helps you gain the skills you need for a successful career in artificial intelligence.

What's an AI Engineer Career Track? It’s a curated AI curriculum offering a structured, step-by-step learning path through essential courses—from programming and data management to advanced AI techniques.

Our AI engineer training program combines theoretical foundations with hands-on practice, preparing you for real-world AI development challenges. Master machine learning fundamentals, neural network architectures, and popular AI tools while building practical projects.

This AI engineer roadmap culminates in a professional AI Engineer certificate that validates your expertise and establishes you as a certified AI engineer.

Learn AI from industry experts and get certified for your AI engineering career through our comprehensive AI curriculum.
10 Courses
Certificate of Achievement
Introduction to Python
Introduction to Python
with Martin Ganchev
4.8/5
(4,784)
2 hours of content
Data Cleaning and Preprocessing with pandas
Data Cleaning and Preprocessing with pandas
with Martin Ganchev
4.7/5
(1,766)
3 hours of content
Intro to NLP for AI
Intro to NLP for AI
with Lauren Newbould
4.7/5
(457)
3 hours of content
Intro to LLMs
Intro to LLMs
with Lauren Newbould
4.6/5
(322)
3 hours of content
Build Chat Applications with OpenAI and LangChain
Build Chat Applications with OpenAI and LangChain
with Hristina Hristova
4.8/5
(186)
7 hours of content
Introduction to Vector Databases with Pinecone
Introduction to Vector Databases with Pinecone
with Elitsa Kaloyanova
4.8/5
(123)
2 hours of content
LLM Engineering in Practice with Streamlit and OpenAI
LLM Engineering in Practice with Streamlit and OpenAI
with Petar Petrov
4.8/5
(42)
4 hours of content
Speech Recognition with Python
Speech Recognition with Python
with Ivan Manov
4.8/5
(21)
3 hours of content
ChatGPT for Data Science
ChatGPT for Data Science
with Elitsa Kaloyanova
4.8/5
(247)
2 hours of content
Intro to AI
Intro to AI
with Ned Krastev
4.8/5
(759)
2 hours of content

Data Scientist

Get Started

Follow our structured data scientist program to gain the tools to stand out in a competitive job market. Build your data science skills from the ground up, starting with the math and statistics intuition required for machine learning. Develop your coding skills with relational database management in SQL and Python programming.

Complete your data scientist training with advanced machine learning and deep learning capabilities. Learn data science from industry experts from top-tier companies and practice your skills with hands-on exercises. Equip yourself with the expertise needed for a thriving data science career in today's AI-driven world.

10 Courses
Certificate of Achievement
Statistics
Statistics
with Iliya Valchanov
4.8/5
(5,530)
5 hours of content
Probability
Probability
with Viktor Mehandzhiyski
4.8/5
(1,517)
5 hours of content
Python Programmer Bootcamp
Python Programmer Bootcamp
with Giles McMullen-Klein
4.8/5
(3,507)
20 hours of content
Mathematics
Mathematics
with Iliya Valchanov
4.8/5
(2,636)
1 hour of content
SQL
SQL
with Martin Ganchev and Vladimir Saev
4.8/5
(4,705)
11 hours of content
Machine Learning in Python
Machine Learning in Python
with Iliya Valchanov
4.8/5
(1,578)
7 hours of content
Deep Learning with TensorFlow 2
Deep Learning with TensorFlow 2
with Iskren Vankov and Iliya Valchanov
4.8/5
(960)
5 hours of content
Product Management for AI & Data Science
Product Management for AI & Data Science
with Danielle Thé
4.9/5
(718)
6 hours of content
Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process
Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process
with Ken Jee
4.8/5
(813)
4 hours of content
Introduction to Data and Data Science
Introduction to Data and Data Science
with Martin Ganchev and Iliya Valchanov
4.8/5
(16,423)
3 hours of content

Data Analyst

Get Started

Master the ins and outs of statistics with our foundational data analyst courses. Become proficient in essential software like Excel and SQL. Then, learn to leverage the popular programming language Python and its fundamental data cleaning and preprocessing libraries: pandas and NumPy.

Supplement your data analyst training with the full range of data visualization practices you need to tell compelling stories through data. Following our structured data analyst career path, you’ll sharpen your analytical mindset and develop the skills to land a rewarding job.

10 Courses
Certificate of Achievement
Introduction to Excel
Introduction to Excel
with Ned Krastev
4.8/5
(10,412)
6 hours of content
Statistics
Statistics
with Iliya Valchanov
4.8/5
(5,530)
5 hours of content
SQL
SQL
with Martin Ganchev and Vladimir Saev
4.8/5
(4,705)
11 hours of content
Introduction to Python
Introduction to Python
with Martin Ganchev
4.8/5
(4,784)
2 hours of content
The Complete Data Visualization Course with Python, R, Tableau, and Excel
The Complete Data Visualization Course with Python, R, Tableau, and Excel
with Elitsa Kaloyanova
4.8/5
(1,371)
10 hours of content
Data Preprocessing with NumPy
Data Preprocessing with NumPy
with Viktor Mehandzhiyski
4.8/5
(1,076)
8 hours of content
Data Cleaning and Preprocessing with pandas
Data Cleaning and Preprocessing with pandas
with Martin Ganchev
4.7/5
(1,766)
3 hours of content
SQL for Data Science Interviews
SQL for Data Science Interviews
with Tina Huang
4.8/5
(772)
2 hours of content
Dates and Times in Python
Dates and Times in Python
with Martin Ganchev and Ivan Manov
4.9/5
(354)
3 hours of content
Introduction to Data and Data Science
Introduction to Data and Data Science
with Martin Ganchev and Iliya Valchanov
4.8/5
(16,423)
3 hours of content

Power BI Developer

Get Started

Our Power BI developer roadmap helps you gain all the skills needed for a successful career in business intelligence using the in-demand data visualization tool Microsoft Power BI.

This curated curriculum offers a structured, step-by-step learning path through essential courses, from data fundamentals to advanced Power BI developer skills.

Our Power BI developer training program mixes theoretical knowledge with hands-on Power BI practice, preparing you for the business intelligence challenges you’ll face during your career. Master data modeling, DAX formulas, and visualization techniques while building practical projects.

The Power BI Developer Career Track culminates in a professional Power BI Developer Certificate that validates your expertise in the field—helping you land your dream job.

Learn from industry experts and get certified through our comprehensive curriculum:

10 Courses
Certificate of Achievement
Power BI
Power BI
with Dimitar Shutev
4.8/5
(3,064)
8 hours of content
Data Analysis in PowerBI with ChatGPT
Data Analysis in PowerBI with ChatGPT
with Dimitar Shutev
4.7/5
(636)
1 hour of content
Power Query and Data Modeling
Power Query and Data Modeling
with Dimitar Shutev
4.8/5
(971)
2 hours of content
Introduction to DAX
Introduction to DAX
with Dimitar Shutev
4.8/5
(619)
3 hours of content
Building Business Reports Using Power BI
Building Business Reports Using Power BI
with Dimitar Shutev
4.8/5
(715)
2 hours of content
Mastering Key Performance Indicators (KPIs)
Mastering Key Performance Indicators (KPIs)
with Bernard Marr
4.8/5
(525)
3 hours of content
Communication and Presentation Skills for Analysts and Managers
Communication and Presentation Skills for Analysts and Managers
with Gilbert Eijkelenboom
4.8/5
(583)
3 hours of content
SQL
SQL
with Martin Ganchev and Vladimir Saev
4.8/5
(4,705)
11 hours of content
Data Strategy
Data Strategy
with Bernard Marr
4.8/5
(3,242)
6 hours of content
Introduction to Data and Data Science
Introduction to Data and Data Science
with Martin Ganchev and Iliya Valchanov
4.8/5
(16,423)
3 hours of content

Tableau Developer

Get Started

Our structured Tableau developer roadmap helps you gain the skills needed for a successful data visualization and analytics career. Land a Tableau developer job with no experience or advance your current skills—our Tableau developer training program provides a clear path to success.

This curated curriculum offers a structured, step-by-step learning path through essential courses—from foundational data concepts to advanced visualization methods—ensuring you learn Tableau and build a comprehensive skillset.

The Tableau Developer Career Track combines theoretical foundations with hands-on Tableau practice, preparing you for real-world data visualization and analysis challenges. Master Tableau's features while building practical projects that demonstrate your expertise.

Learn from industry experts and get certified as a Tableau Developer through our comprehensive Career Track:

10 Courses
Certificate of Achievement
Introduction to Tableau
Introduction to Tableau
with Ned Krastev
4.8/5
(1,775)
2 hours of content
SQL
SQL
with Martin Ganchev and Vladimir Saev
4.8/5
(4,705)
11 hours of content
Customer Churn Analysis with SQL and Tableau
Customer Churn Analysis with SQL and Tableau
with Elitsa Kaloyanova
4.8/5
(260)
3 hours of content
Customer Engagement Analysis with SQL and Tableau
Customer Engagement Analysis with SQL and Tableau
with Hristina Hristova
4.9/5
(143)
5 hours of content
Introduction to Python
Introduction to Python
with Martin Ganchev
4.8/5
(4,784)
2 hours of content
Growth Analysis with SQL, Python, and Tableau
Growth Analysis with SQL, Python, and Tableau
with Nikola Pulev
4.9/5
(63)
4 hours of content
Sign-Up Flow Optimization Analysis with SQL and Tableau
Sign-Up Flow Optimization Analysis with SQL and Tableau
with Ivan Manov
4.9/5
(88)
4 hours of content
Communication and Presentation Skills for Analysts and Managers
Communication and Presentation Skills for Analysts and Managers
with Gilbert Eijkelenboom
4.8/5
(583)
3 hours of content
Mastering Key Performance Indicators (KPIs)
Mastering Key Performance Indicators (KPIs)
with Bernard Marr
4.8/5
(525)
3 hours of content
Introduction to Data and Data Science
Introduction to Data and Data Science
with Martin Ganchev and Iliya Valchanov
4.8/5
(16,423)
3 hours of content

Senior Data Analyst

Get Started

As the second step in our data analyst training, this structured senior data analyst roadmap guides you through an expert-taught curriculum of applied data analytics skills—from advanced SQL to business growth.

This senior data analyst training program combines theoretical knowledge with hands-on practice, preparing you for real-world challenges in advanced data analytics. Our curated curriculum offers a structured, step-by-step learning path through essential courses.

Upon completion, you'll receive a Senior Data Analyst Certificate that validates your expertise and demonstrates your readiness for senior-level jobs.

With this advanced data analytics certification, you'll have what it takes to step up from junior roles into higher-level positions confidently.

Wondering how to become a senior data analyst? Learn from industry experts through our comprehensive senior data analyst courses:

10 Courses
Certificate of Achievement
Advanced SQL
Advanced SQL
with Martin Ganchev and Vladimir Saev
4.8/5
(541)
7 hours of content
Customer Churn Analysis with SQL and Tableau
Customer Churn Analysis with SQL and Tableau
with Elitsa Kaloyanova
4.8/5
(260)
3 hours of content
Customer Engagement Analysis with SQL and Tableau
Customer Engagement Analysis with SQL and Tableau
with Hristina Hristova
4.9/5
(143)
5 hours of content
Growth Analysis with SQL, Python, and Tableau
Growth Analysis with SQL, Python, and Tableau
with Nikola Pulev
4.9/5
(63)
4 hours of content
A/B Testing in Python
A/B Testing in Python
with Anastasia Kuznetsova
4.7/5
(615)
3 hours of content
Sign-Up Flow Optimization Analysis with SQL and Tableau
Sign-Up Flow Optimization Analysis with SQL and Tableau
with Ivan Manov
4.9/5
(88)
4 hours of content
Data-Driven Business Growth
Data-Driven Business Growth
with Tina Huang and Davis Balaba
4.7/5
(359)
4 hours of content
SQL + Tableau + Python
SQL + Tableau + Python
with Martin Ganchev
4.8/5
(463)
5 hours of content
Mastering Key Performance Indicators (KPIs)
Mastering Key Performance Indicators (KPIs)
with Bernard Marr
4.8/5
(525)
3 hours of content
Communication and Presentation Skills for Analysts and Managers
Communication and Presentation Skills for Analysts and Managers
with Gilbert Eijkelenboom
4.8/5
(583)
3 hours of content

Data Engineer

Get Started

Wondering how to become a data engineer? Our structured data engineer roadmap helps you gain the skills needed for a successful career.

Its curated curriculum offers a structured, step-by-step learning path through essential courses—from SQL and Python programming to advanced data pipeline development.

Our data engineer training program combines theoretical foundations with hands-on practice, preparing you for real-world data challenges. Master data management, pipeline development, and cloud computing while building practical projects.

The Data Engineer Career Track culminates in a professional certificate that validates your expertise and establishes you as a certified data engineer in the field.

Learn data engineering from industry experts and get certified through our comprehensive data engineering curriculum:

10 Courses
Certificate of Achievement
SQL
SQL
with Martin Ganchev and Vladimir Saev
4.8/5
(4,705)
11 hours of content
Introduction to Python
Introduction to Python
with Martin Ganchev
4.8/5
(4,784)
2 hours of content
Data Ingestion with Pandas
Data Ingestion with Pandas
with Samson Afolabi
4.4/5
(14)
1 hour of content
Understanding Cloud Computing
Understanding Cloud Computing
with Andrew Jones
4.7/5
(15)
1 hour of content
Introduction to Data Architecture
Introduction to Data Architecture
with Rahul Singh
4.4/5
(26)
1 hour of content
Advanced SQL for Data Engineering
Advanced SQL for Data Engineering
with Shashank Kalanithi
4.8/5
(411)
2 hours of content
Building Data Pipelines with Apache Airflow
Building Data Pipelines with Apache Airflow
with Shashank Kalanithi
4.5/5
(21)
2 hours of content
Git and GitHub
Git and GitHub
with Giles McMullen-Klein
4.7/5
(2,149)
1 hour of content
Introduction to Data Warehousing
Introduction to Data Warehousing
with Rahul Singh
4.9/5
(16)
3 hours of content
Intro to Data Engineering
Intro to Data Engineering
with Shashank Kalanithi
4.8/5
(247)
4 hours of content

Business Analyst

Get Started

Our business analyst training will shape your skills and transform you into a successful, data-driven professional. Our courses on Data Literacy and Strategy help you understand the importance of data and how to gain business insights from it. You then learn beginner and advanced Excel techniques—essential for the day-to-day workflow—and utilize visualization software, such as Tableau, to present your data findings clearly and effectively. This business analyst certification program will complement your theoretical and technical know-how to gain an edge in the job market.

10 Courses
Certificate of Achievement
Data Literacy
Data Literacy
with Olivier Maugain
4.8/5
(1,944)
5 hours of content
Data Strategy
Data Strategy
with Bernard Marr
4.8/5
(3,242)
6 hours of content
Introduction to Excel
Introduction to Excel
with Ned Krastev
4.8/5
(10,412)
6 hours of content
Data Analysis with Excel Pivot Tables
Data Analysis with Excel Pivot Tables
with Ned Krastev
4.8/5
(4,117)
2 hours of content
Advanced Microsoft Excel
Advanced Microsoft Excel
with Martin Ganchev and Ned Krastev
4.8/5
(2,092)
3 hours of content
Statistics
Statistics
with Iliya Valchanov
4.8/5
(5,530)
5 hours of content
The Complete Data Visualization Course with Python, R, Tableau, and Excel
The Complete Data Visualization Course with Python, R, Tableau, and Excel
with Elitsa Kaloyanova
4.8/5
(1,371)
10 hours of content
Introduction to Business Analytics
Introduction to Business Analytics
with Randy Rosseel
4.8/5
(1,137)
6 hours of content
Power BI
Power BI
with Dimitar Shutev
4.8/5
(3,064)
8 hours of content
Introduction to Data and Data Science
Introduction to Data and Data Science
with Martin Ganchev and Iliya Valchanov
4.8/5
(16,423)
3 hours of content

Machine Learning Scientist

Get Started

Our structured Machine Learning Scientist roadmap helps you gain the skills needed for a successful career in machine learning.

This curated machine learning curriculum offers a structured, step-by-step learning path through essential courses—from linear algebra fundamentals to advanced machine learning algorithms.

Our Machine Learning Scientist training program combines theoretical foundations with hands-on practice, preparing you for real-world ML challenges. Master key algorithms, optimize models, and select features through hands-on projects. The Machine Learning Scientist Career Track concludes with a professional certificate that validates your expertise and establishes you as a certified Machine Learning Scientist in the field.

Learn machine learning from industry experts and get certified through our comprehensive machine learning curriculum:

10 Courses
Certificate of Achievement
Math Foundation for ML
Math Foundation for ML
with Neha Bansal
4.3/5
(11)
1 hour of content
Machine Learning in Python
Machine Learning in Python
with Iliya Valchanov
4.8/5
(1,578)
7 hours of content
Machine Learning with Naïve Bayes
Machine Learning with Naïve Bayes
with Hristina Hristova
4.8/5
(741)
2 hours of content
Machine Learning with K-Nearest Neighbors
Machine Learning with K-Nearest Neighbors
with Hristina Hristova
4.8/5
(633)
2 hours of content
Machine Learning with Decision Trees and Random Forests
Machine Learning with Decision Trees and Random Forests
with Nikola Pulev
4.8/5
(668)
1 hour of content
Machine Learning with Support Vector Machines
Machine Learning with Support Vector Machines
with Elitsa Kaloyanova
4.8/5
(595)
1 hour of content
The Machine Learning Process A-Z
The Machine Learning Process A-Z
with Ken Jee and Jeff Li
4.8/5
(998)
6 hours of content
Machine Learning with Ridge and Lasso Regression
Machine Learning with Ridge and Lasso Regression
with Ivan Manov
4.8/5
(353)
1 hour of content
The Machine Learning Algorithms A-Z
The Machine Learning Algorithms A-Z
with Ken Jee and Jeff Li
4.7/5
(615)
5 hours of content
Linear Algebra and Feature Selection
Linear Algebra and Feature Selection
with Ivan Manov and Aleksandar Samsiev
4.7/5
(370)
3 hours of content

Enroll in one of our 365 Data Science Career Tracks, master the unique skillset employers require, and land your desired job in data science.

Start Your Career

Follow Your Ideal Data Science Roadmap

Enroll in a Career Track

Sign up for one of our career tracks to experience a structured data science curriculum and advance your skills.

Prepare for as many data science roles as you like.

1

Choose Your Electives

Select up to two data science courses that complement the required topics in your chosen track. For your convenience, we’ve suggested several electives that fit well with the data science career paths.

You have the freedom to choose which ones you’d like to take.

2

Take the Classes

Enjoy the flexibility of taking online data science classes. Watch the engaging video lessons and complete the practical exercises at your own pace.

3

Pass the Course Exams

All required and elective courses in the 365 Data Science Career Tracks come with respective exams.

You can access the questions even if you haven’t watched the lessons. But you must score at least 60% to pass the exam.

4

Complete the Final Exam

Our 365 Data Science certificate programs end with a final exam covering all required topics in the career track of your choice.

Pass this comprehensive assessment to receive your 365 Data Science Career Track Certification.

5

Receive Certificate

Career track certificate

Excel in Data Science from the Start

Choose the path you’re passionate about among the various data science careers and develop the skills for your ideal job.

Start Your Career
The logos of technologies like Python, R, SQL, ChatGPT, Tableau, Power BI, and SQL displayed for decorative purposes.