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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5 Course Modules

Module 1 | 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
Data Strategy
with Bernard Marr
58 lessons 4 hours
Data Literacy
with Olivier Maugain
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

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Module 2 | 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
41 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

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Module 3 | Machine and Deep Learning 11 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
19 lessons 1 hours
Machine Learning with Ridge and Lasso Regression
with Ivan Manov
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

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Module 4 | Advanced Specialization 11 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.
38 lessons 4 hours
Data-Driven Business Growth
with Davis Balaba, Tina Huang
27 lessons 3 hours
A/B Testing in Python
with Anastasia Kuznetsova
41 lessons 3 hours
Fashion Analytics with Tableau
with Elitsa Kaloyanova
27 lessons 2 hours
AI Applications for Business Success
with Horia Mărgărit
60 lessons 5 hours
Customer Analytics in Python
with Nikolay Georgiev, Elitsa Kaloyanova
58 lessons 6 hours
Credit Risk Modeling in Python
with Nikolay Georgiev
89 lessons 7 hours
Time Series Analysis with Python
with Viktor Mehandzhiyski
48 lessons 4 hours
Web Scraping and API Fundamentals in Python
with Andrew Treadway, Nikola Pulev
65 lessons 4 hours
Python for Finance
with Martin Ganchev, Ned Krastev
54 lessons 5 hours
Introduction to Business Analytics
with Randy Rosseel
67 lessons 5 hours
Product Management for AI & Data Science
with Danielle Thé

Module 5 | Business Specialization 9 courses

Even if you’re technically savvy, your organization won’t benefit much without the ability to understand what drives value for your business. Any data scientist worth their salt should realize what creates value for a company, including key performance indicators, how business variables are interrelated, and what makes sense from a strategic points of view. Based on this knowledge, you should be able to extract meaningful insights from data to recommend actionable adjustments that create long-term value. This module provides invaluable business preparation few realize they need before employment.
62 lessons 6 hours
Blockchain for Business
with Peter Lipovyanov
61 lessons 4 hours
Project Management
with Ivan Vaptsarov
39 lessons 2 hours
Corporate Strategy
with Valentina Bogdanova
33 lessons 2 hours
Marketing Strategy
with Valentina Bogdanova
20 lessons 1 hours
Negotiation
with Valentina Bogdanova
18 lessons 1 hours
Excel for Project Management
with Ivan Vaptsarov
17 lessons 1 hours
Agile and Scrum Project Management
with Ivan Vaptsarov
27 lessons 1 hours
Management
with Valentina Bogdanova
6 lessons 1 hours
Persuasion and Influence
with Valentina Bogdanova

Upcoming Courses

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Machine Learning Algorithms
with Jeff Li
The Machine Learning Process A to Z
with Ken Jee
Think Like a Data Scientist and Become One
with Harpreet Sahota
Power Query and Data Modelling
with Dimitar Shutev
DAX
with Dimitar Shutev
Building business reports using Power BI
with Dimitar Shutev