Data Strategy

with Bernard Marr
4.8/5
(2094)

Giving you the knowledge to leverage the value of data to position any business for success. Complete with a myriad of real-life scenarios and case studies.

5 Hours
81 Lessons
Certificate
Start Course

Introduction to Excel

with Ned Krastev
4.8/5
(5120)

Even in data science, smaller datasets are processed quicker in Excel rather than Python, R, or SQL. This course gives you the skills you need to crunch numbers in the number one spreadsheet program.

4 Hours
83 Lessons
Certificate
Start Course

SQL for Data Science Interviews

with Tina Huang
4.8/5
(506)

A hands-on course covering SQL setup and fundamental components, combined with a guided walkthrough of 10 mock interviews with real-world SQL interview questions and expert tips on how to pass them successfully. 

2 Hours
23 Lessons
Certificate
Start Course

Data Science Courses Library

5 Course Modules
Module 1 |

Data Science Fundamentals

14 courses

One of the strongest advantages of the 365 Data Science program is that it starts with the basics. Understand the field's most essential disciplines, including statistics, mathematics, and probability. Launch your learning journey on solid foundations with online data science courses to ensure you have the knowledge to tackle advanced topics.

Introduction to Data and Data Science

with Martin Ganchev, Iliya Valchanov
4.8/5
(7232)
2 hours 22 lessons

Data Strategy

with Bernard Marr
4.8/5
(2094)
5 hours 81 lessons

Data Literacy

with Olivier Maugain
4.8/5
(1087)
4 hours 58 lessons

Introduction to Excel

with Ned Krastev
4.8/5
(5120)
4 hours 83 lessons

Data Analysis with Excel Pivot Tables

with Ned Krastev
4.8/5
(2467)
1 hour 19 lessons

Advanced Microsoft Excel

with Ned Krastev, Martin Ganchev
4.8/5
(1053)
2 hours 32 lessons

Statistics

with Iliya Valchanov
4.8/5
(2759)
3 hours 44 lessons

Probability

with Viktor Mehandzhiyski
4.8/5
(694)
4 hours 47 lessons

Mathematics

with Iliya Valchanov
4.8/5
(1188)
1 hour 12 lessons

Introduction to Tableau

with Ned Krastev
4.8/5
(989)
2 hours 40 lessons

Power BI

with Dimitar Shutev
4.8/5
(1330)
8 hours 76 lessons

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

with Ken Jee
4.9/5
(462)
4 hours 52 lessons

SQL for Data Science Interviews

with Tina Huang
4.8/5
(506)
2 hours 23 lessons

How to Think Like a Data Scientist to Become One

with Harpreet Sahota
4.8/5
(431)
3 hours 21 lessons

Learn Data Science with Industry Experts

Start Your Career
Module 2 |

Programming for Data Science

17 courses

To work with large quantities of data, you need suitable programming tools and knowledge of suitable programming and data visualization software. In this part of the training, we focus on SQL, Python, and Power BI. Even if you don’t have prior experience, you’ll learn to work with relational databases in SQL and leverage some of Python’s most popular libraries, such as NumPy and pandas. Moreover, you’ll gain the skills to build business reports in Power BI. The data science courses in this module will take your coding and data analysis skills to the next level.

SQL

with Martin Ganchev, Vladimir Saev
4.8/5
(2129)
8 hours 121 lessons

Advanced SQL

with Martin Ganchev, Vladimir Saev
4.9/5
(100)
2 hours 20 lessons

SQL + Tableau

with Martin Ganchev
4.8/5
(502)
1 hour 20 lessons

Introduction to Jupyter

with Martin Ganchev
4.8/5
(1611)
1 hour 9 lessons

Introduction to Python

with Martin Ganchev
4.8/5
(2076)
2 hours 41 lessons

Python Programmer Bootcamp

with Giles McMullen-Klein
4.8/5
(1819)
11 hours 128 lessons

Intermediate Python Programming

with Martin Ganchev
4.7/5
(139)
1 hour 13 lessons

Git and GitHub

with Giles McMullen-Klein
4.7/5
(1068)
1 hour 12 lessons

Introduction to R Programming

with Simona Dobreva, Iliya Valchanov
4.8/5
(429)
6 hours 87 lessons

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

with Elitsa Kaloyanova
4.8/5
(744)
9 hours 100 lessons

Data Preprocessing with NumPy

with Viktor Mehandzhiyski
4.9/5
(554)
7 hours 68 lessons

Data Cleaning and Preprocessing with pandas

with Martin Ganchev
4.7/5
(915)
2 hours 27 lessons

Dates and Times in Python

with Ivan Manov, Martin Ganchev
4.9/5
(156)
2 hours 23 lessons

Working with Text Files in Python

with Martin Ganchev
4.7/5
(108)
1 hour 22 lessons

Power Query and Data Modeling

with Dimitar Shutev
4.8/5
(398)
2 hours 21 lessons

Introduction to DAX

with Dimitar Shutev
4.8/5
(256)
3 hours 21 lessons

Building Business Reports Using Power BI

with Dimitar Shutev
4.8/5
(323)
2 hours 15 lessons

Learn Data Science with Industry Experts

Start Your Career
Module 3 |

Machine and Deep Learning

14 courses

Once you’ve acquired the necessary foundational skills, Module 3 will challenge your abilities with more complex topics like machine learning and deep learning. Our easy-to-understand explanations and structured approach empower you to perform machine learning in Python. You’ll also learn about neural networks and their application with TensorFlow 2. As standard, all data science courses in this module contain practical examples that bridge theoretical knowledge with real-life applications.

Machine Learning in Python

with Iliya Valchanov
4.8/5
(779)
5 hours 72 lessons

The Machine Learning Process A-Z

with Ken Jee, Jeff Li
4.8/5
(216)
6 hours 145 lessons

The Machine Learning Algorithms A-Z

with Jeff Li, Ken Jee
4.6/5
(65)
4 hours 188 lessons

Machine Learning Deep Dive: Business Applications and Coding Walkthroughs

with Jeff Li, Ken Jee
4.9/5
(21)
3 hours 34 lessons

Machine Learning with Naïve Bayes

with Hristina Hristova
4.9/5
(443)
1 hour 14 lessons

Machine Learning with K-Nearest Neighbors

with Hristina Hristova
4.8/5
(330)
1 hour 17 lessons

Machine Learning with Decision Trees and Random Forests

with Nikola Pulev
4.8/5
(375)
1 hour 20 lessons

Machine Learning with Support Vector Machines

with Elitsa Kaloyanova
4.8/5
(304)
1 hour 15 lessons

Machine Learning with Ridge and Lasso Regression

with Ivan Manov
4.9/5
(191)
1 hour 19 lessons

Linear Algebra and Feature Selection

with Aleksandar Samsiev, Ivan Manov
4.8/5
(205)
3 hours 32 lessons

Deep Learning with TensorFlow 2

with Iskren Vankov, Iliya Valchanov
4.8/5
(409)
5 hours 83 lessons

Convolutional Neural Networks with TensorFlow in Python

with Nikola Pulev, Iskren Vankov
4.8/5
(234)
4 hours 48 lessons

SQL + Tableau + Python

with Martin Ganchev
4.8/5
(236)
4 hours 61 lessons

Machine Learning in Excel

with Ivan Kitov
4.9/5
(310)
6 hours 70 lessons

Learn Data Science with Industry Experts

Start Your Career
Module 4 |

Advanced Specialization

15 courses

Do you wish to learn specialized subject matter related to data science applications in a particular field? Expanding on the statistical and programming know-how acquired in previous modules, our data science courses on Data-Driven Business Growth, Customer Analytics in Python, Product Management, Python for Finance, and AI for Business equip you with practical skills to create value for your company. In this part of the data science program, you gain industry-specific insights from proven experts, giving you a competitive edge on the job market.

Advanced SQL for Data Engineering

with Shashank Kalanithi
4.8/5
(20)
2 hours 46 lessons

Communication and Presentation Skills for Analysts and Managers

with Gilbert Eijkelenboom
4.6/5
(25)
3 hours 59 lessons

Data-Driven Business Growth

with Davis Balaba, Tina Huang
4.7/5
(191)
4 hours 38 lessons

A/B Testing in Python

with Anastasia Kuznetsova
4.7/5
(376)
3 hours 27 lessons

Customer Churn Analysis with SQL and Tableau

with Elitsa Kaloyanova
4.8/5
(66)
3 hours 36 lessons

Customer Engagement Analysis with SQL and Tableau

with Hristina Hristova
4.9/5
(10)
4 hours 49 lessons

Fashion Analytics with Tableau

with Elitsa Kaloyanova
4.8/5
(158)
3 hours 41 lessons

AI Applications for Business Success

with Horia Mărgărit
4.7/5
(165)
2 hours 27 lessons

Customer Analytics in Python

with Nikolay Georgiev, Elitsa Kaloyanova
4.9/5
(216)
5 hours 60 lessons

Credit Risk Modeling in Python

with Nikolay Georgiev
4.9/5
(205)
6 hours 58 lessons

Time Series Analysis with Python

with Viktor Mehandzhiyski
4.8/5
(277)
7 hours 89 lessons

Web Scraping and API Fundamentals in Python

with Andrew Treadway, Nikola Pulev
4.8/5
(287)
4 hours 48 lessons

Python for Finance

with Martin Ganchev, Ned Krastev
4.8/5
(212)
4 hours 65 lessons

Introduction to Business Analytics

with Randy Rosseel
4.8/5
(622)
5 hours 54 lessons

Product Management for AI & Data Science

with Danielle Thé
4.9/5
(306)
5 hours 67 lessons

Learn Data Science with Industry Experts

Start Your Career
Module 5 |

Business Specialization

9 courses

The courses in this module provide invaluable business preparation that few realize they need to break into data science. Any data scientist worth their salt should understand what drives value for a company—including identifying key performance indicators, how business variables are interrelated, and what makes sense from a strategic point of view. You should be able to extract meaningful insights from data to recommend actionable adjustments that create long-term benefits.

Blockchain for Business

with Peter Lipovyanov
4.9/5
(174)
5 hours 61 lessons

Project Management

with Ivan Vaptsarov
4.8/5
(176)
4 hours 61 lessons

Corporate Strategy

with Valentina Bogdanova
4.8/5
(111)
2 hours 39 lessons

Marketing Strategy

with Valentina Bogdanova
4.8/5
(86)
2 hours 33 lessons

Negotiation

with Valentina Bogdanova
4.9/5
(62)
1 hour 20 lessons

Excel for Project Management

with Ivan Vaptsarov
4.6/5
(14)
1 hour 18 lessons

Agile and Scrum Project Management

with Ivan Vaptsarov
4.9/5
(16)
1 hour 17 lessons

Management

with Valentina Bogdanova
4.8/5
(11)
1 hour 27 lessons

Persuasion and Influence

with Valentina Bogdanova
4.7/5
(9)
1 hour 6 lessons
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Upcoming Courses

Show All
Ivan Manov

Sign-Up Flow Optimization Analysis with Tableau

with Ivan Manov
Bernard Marr

Mastering Key Performance Indicators (KPIs)

with Bernard Marr
Natassha Selvaraj

Data Science and Data Analytics for Marketing

with Natassha Selvaraj
Shaun Moloi

Introduction to Data Engineering

with Shaun Moloi
Nikola Pulev

Growth Analysis in Tableau

with Nikola Pulev
Bernard Marr

AI Strategy

with Bernard Marr