Online Data Science Courses and Certification

Data Strategy

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.

81 Lessons

5 Hours

Certificate

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Introduction to Excel

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.

83 Lessons

4 Hours

Certificate

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SQL for Data Science Interviews

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.

23 Lessons

2 Hours

Certificate

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4 Course Modules

Data Science Fundamentals 13 courses

One of the strongest advantages of the 365 Data Science program is that it starts with the basics. Launch your learning journey on solid foundations that will ensure you have the necessary knowledge to tackle advanced topics. Gain an understanding of the data science field and its most important disciplines – statistics, mathematics, and probability.

22 lessons 2 hours

Introduction to Data and Data Science

with Martin Ganchev, Iliya Valchanov

81 lessons 5 hours

58 lessons 4 hours

83 lessons 4 hours

Introduction to Excel

with Ned Krastev

19 lessons 1 hours

Data Analysis with Excel Pivot Tables

with Ned Krastev

32 lessons 2 hours

Advanced Microsoft Excel

with Ned Krastev, Martin Ganchev

44 lessons 3 hours

Statistics

with Iliya Valchanov

47 lessons 4 hours

Probability

with Viktor Mehandzhiyski

12 lessons 1 hours

Mathematics

with Iliya Valchanov

40 lessons 2 hours

Introduction to Tableau

with Ned Krastev

76 lessons 8 hours

Power BI

with Dimitar Shutev

52 lessons 4 hours

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

with Ken Jee

23 lessons 2 hours

SQL for Data Science Interviews

with Tina Huang

Programming for Data Science 11 courses

To work with large quantities of data you need suitable programming tools. In this part of the program, we focus on SQL and Python. Even if you don’t have any prior experience, you will learn how to manage relational databases in SQL, and how to code in Python leveraging some of its most popular libraries like NumPy and pandas. The Python Bootcamp course included in this module will not only take your coding skills to the next level but also give you a problem-solving superpower!

121 lessons 8 hours

SQL

with Martin Ganchev, Vladimir Saev

20 lessons 1 hours

SQL + Tableau

with Martin Ganchev

9 lessons 1 hours

Introduction to Jupyter

with Martin Ganchev

40 lessons 2 hours

Introduction to Python

with Martin Ganchev

128 lessons 11 hours

Python Programmer Bootcamp

with Giles McMullen-Klein

12 lessons 1 hours

Git and GitHub

with Giles McMullen-Klein

87 lessons 6 hours

Introduction to R Programming

with Simona Dobreva, Iliya Valchanov

100 lessons 9 hours

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

with Elitsa Kaloyanova

68 lessons 7 hours

Data Preprocessing with NumPy

with Viktor Mehandzhiyski

27 lessons 2 hours

Data Cleaning and Preprocessing with pandas

with Martin Ganchev

23 lessons 2 hours

Dates and Times in Python

with Ivan Manov, Martin Ganchev

Machine and Deep Learning 10 courses

Once you have acquired the necessary foundational skills, module three offers you the challenge of more complex topics such as machine and deep learning. Our easy-to-understand explanations coupled with a structured approach empower you to perform different machine learning algorithms in Python. You will even have the chance to learn about neural networks and their application with TensorFlow 2. As usual, every course contains a practical example that teaches you how to bridge theoretical knowledge with real-life application.

72 lessons 5 hours

Machine Learning in Python

with Iliya Valchanov

14 lessons 1 hours

Machine Learning with Naïve Bayes

with Hristina Hristova

17 lessons 1 hours

Machine Learning with K-Nearest Neighbors

with Hristina Hristova

20 lessons 1 hours

Machine Learning with Decision Trees and Random Forests

with Nikola Pulev

15 lessons 1 hours

Machine Learning with Support Vector Machines

with Elitsa Kaloyanova

32 lessons 3 hours

Linear Algebra and Feature Selection

with Aleksandar Samsiev, Ivan Manov

83 lessons 5 hours

Deep Learning with TensorFlow 2

with Iskren Vankov, Iliya Valchanov

48 lessons 4 hours

Convolutional Neural Networks with TensorFlow in Python

with Nikola Pulev, Iskren Vankov

61 lessons 4 hours

SQL + Tableau + Python

with Martin Ganchev

70 lessons 6 hours

Machine Learning in Excel

with Ivan Kitov

Advanced Specialization 10 courses

Do you want to learn specialized topics related to the application of data science in a particular field? We have got you covered! In this part of the program, you can gain industry-specific insights from proven experts. Expanding on the fundamental statistical and Python programming skills acquired in previous modules, the courses on customer analytics, credit risk management, product management, Python for finance, and AI for business equip you with practical skills that can be applied on the job to create value for your company.