Data Strategy

4.8/5
(1826)

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 of video
Certificate of achievement
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Introduction to Excel

4.8/5
(3728)

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 of video
Certificate of achievement
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SQL for Data Science Interviews

4.9/5
(461)

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 of video
Certificate of achievement
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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. 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.
Introduction to Data and Data Science
with Martin Ganchev, Iliya Valchanov
4.8/5
(6349)
2 hours 22 lessons
Data Strategy
with Bernard Marr
4.8/5
(1826)
5 hours 81 lessons
Data Literacy
with Olivier Maugain
4.8/5
(923)
4 hours 58 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 Ned Krastev, Martin Ganchev
4.8/5
(938)
2 hours 32 lessons
Statistics
with Iliya Valchanov
4.8/5
(2336)
3 hours 44 lessons
Probability
with Viktor Mehandzhiyski
4.8/5
(602)
4 hours 47 lessons
Mathematics
with Iliya Valchanov
4.8/5
(1059)
1 hour 12 lessons
Introduction to Tableau
with Ned Krastev
4.8/5
(751)
2 hours 40 lessons
Power BI
with Dimitar Shutev
4.8/5
(990)
8 hours 76 lessons
Starting a Career in Data Science: Project Portfolio, Resume, and Interview Process
with Ken Jee
4.9/5
(395)
4 hours 52 lessons
SQL for Data Science Interviews
with Tina Huang
4.9/5
(461)
2 hours 23 lessons
How to Think Like a Data Scientist to Become One
with Harpreet Sahota
4.8/5
(360)
3 hours 21 lessons

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Module 2 | Programming for Data Science 17 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!
SQL
with Martin Ganchev, Vladimir Saev
4.9/5
(1883)
8 hours 121 lessons
Advanced SQL
with Vladimir Saev, Martin Ganchev
4.8/5
(29)
2 hours 20 lessons
SQL + Tableau
with Martin Ganchev
4.8/5
(451)
1 hour 20 lessons
Introduction to Jupyter
with Martin Ganchev
4.8/5
(1358)
1 hour 9 lessons
Introduction to Python
with Martin Ganchev
4.8/5
(1712)
2 hours 41 lessons
Python Programmer Bootcamp
with Giles McMullen-Klein
4.9/5
(1600)
11 hours 128 lessons
Intermediate Python Programming
with Martin Ganchev
4.7/5
(84)
1 hour 13 lessons
Git and GitHub
with Giles McMullen-Klein
4.7/5
(972)
1 hour 12 lessons
Introduction to R Programming
with Simona Dobreva, Iliya Valchanov
4.8/5
(372)
6 hours 87 lessons
The Complete Data Visualization Course with Python, R, Tableau, and Excel
with Elitsa Kaloyanova
4.9/5
(648)
9 hours 100 lessons
Data Preprocessing with NumPy
with Viktor Mehandzhiyski
4.9/5
(491)
7 hours 68 lessons
Data Cleaning and Preprocessing with pandas
with Martin Ganchev
4.7/5
(818)
2 hours 27 lessons
Dates and Times in Python
with Ivan Manov, Martin Ganchev
4.9/5
(139)
2 hours 23 lessons
Working with Text Files in Python
with Martin Ganchev
4.8/5
(75)
1 hour 22 lessons
Power Query and Data Modeling
with Dimitar Shutev
4.8/5
(344)
2 hours 21 lessons
Introduction to DAX
with Dimitar Shutev
4.8/5
(222)
3 hours 21 lessons
Building Business Reports Using Power BI
with Dimitar Shutev
4.8/5
(284)
2 hours 15 lessons

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Module 3 | Machine and Deep Learning 12 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.
Machine Learning in Python
with Iliya Valchanov
4.8/5
(699)
5 hours 72 lessons
The Machine Learning Process A-Z
with Jeff Li, Ken Jee
4.7/5
(125)
6 hours 145 lessons
Machine Learning with Naïve Bayes
with Hristina Hristova
4.9/5
(400)
1 hour 14 lessons
Machine Learning with K-Nearest Neighbors
with Hristina Hristova
4.8/5
(299)
1 hour 17 lessons
Machine Learning with Decision Trees and Random Forests
with Nikola Pulev
4.8/5
(340)
1 hour 20 lessons
Machine Learning with Support Vector Machines
with Elitsa Kaloyanova
4.8/5
(273)
1 hour 15 lessons
Machine Learning with Ridge and Lasso Regression
with Ivan Manov
4.9/5
(170)
1 hour 19 lessons
Linear Algebra and Feature Selection
with Aleksandar Samsiev, Ivan Manov
4.8/5
(182)
3 hours 32 lessons
Deep Learning with TensorFlow 2
with Iskren Vankov, Iliya Valchanov
4.8/5
(363)
5 hours 83 lessons
Convolutional Neural Networks with TensorFlow in Python
with Nikola Pulev, Iskren Vankov
4.8/5
(214)
4 hours 48 lessons
SQL + Tableau + Python
with Martin Ganchev
4.8/5
(216)
4 hours 61 lessons
Machine Learning in Excel
with Ivan Kitov
4.9/5
(198)
6 hours 70 lessons

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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.
Data-Driven Business Growth
with Davis Balaba, Tina Huang
4.7/5
(175)
4 hours 38 lessons
A/B Testing in Python
with Anastasia Kuznetsova
4.7/5
(349)
3 hours 27 lessons
Fashion Analytics with Tableau
with Elitsa Kaloyanova
4.9/5
(135)
3 hours 41 lessons
AI Applications for Business Success
with Horia Mărgărit
4.7/5
(148)
2 hours 27 lessons
Customer Analytics in Python
with Nikolay Georgiev, Elitsa Kaloyanova
4.9/5
(200)
5 hours 60 lessons
Credit Risk Modeling in Python
with Nikolay Georgiev
4.9/5
(174)
6 hours 58 lessons
Time Series Analysis with Python
with Viktor Mehandzhiyski
4.8/5
(241)
7 hours 89 lessons
Web Scraping and API Fundamentals in Python
with Andrew Treadway, Nikola Pulev
4.8/5
(259)
4 hours 48 lessons
Python for Finance
with Martin Ganchev, Ned Krastev
4.8/5
(191)
4 hours 65 lessons
Introduction to Business Analytics
with Randy Rosseel
4.8/5
(430)
5 hours 54 lessons
Product Management for AI & Data Science
with Danielle Thé
4.9/5
(271)
5 hours 67 lessons

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.
Blockchain for Business
with Peter Lipovyanov
4.9/5
(124)
5 hours 61 lessons
Project Management
with Ivan Vaptsarov
4.9/5
(127)
4 hours 61 lessons
Corporate Strategy
with Valentina Bogdanova
4.8/5
(83)
2 hours 39 lessons
Marketing Strategy
with Valentina Bogdanova
4.8/5
(59)
2 hours 33 lessons
Negotiation
with Valentina Bogdanova
4.9/5
(42)
1 hour 20 lessons
Excel for Project Management
with Ivan Vaptsarov
5/5
(1)
1 hour 18 lessons
Agile and Scrum Project Management
with Ivan Vaptsarov
5/5
(1)
1 hour 17 lessons
Management
with Valentina Bogdanova
5/5
(1)
1 hour 27 lessons
Persuasion and Influence
with Valentina Bogdanova
5/5
(1)
1 hour 6 lessons

Upcoming Courses

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Customer Engagement Analysis in Tableau
with Hristina Hristova
Customer Churn Analysis in Tableau
with Elitsa Kaloyanova
Growth Analysis in Tableau
with Nikola Pulev
Machine Learning Algorithms
with Jeff Li and Ken Jee