Take the first step towards your data science career!

Experience a structured training program, learn new skills, and practice for the complete set of data science responsibilities.

From a continuous program curriculum, to talented instructor team and visionary animators, this program is the best learning solution for beginner data scientists.

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Our graduates work at:
walmart
tesla
paypal
citibank
booking.com

New in the Program

The Data Visualization course is designed for everyone looking to deepen their understanding of creating meaningful and compelling visualizations. Whether you’re coming from a business or data science-related field, knowledge in data visualization is both important and advantageous. That’s precisely why this course is centered not in just one, but four different environments: Excel, Tableau, Python, and R. Each section is dedicated to a specific type of chart – bar charts, pie charts, area charts, line charts and many more. In addition, there are lectures that specifically explore what to avoid when creating a certain graphic. You can stick with your preferred environment and follow each section. Or you could master all four environments and add indispensable skills to your data visualization toolset.
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Program Contents

Module 1 Module 2 Module 3 Module 4
Module 1 Data Science Fundamentals

1. Data Science Fundamentals

In the first module of the training you will create a strong foundation for your data science career. You will understand the core principles of probability, statistics, and mathematics necessary for building machine and deep learning models further in the program. You will start working with data and learn how to visually present the results of your analyses.
Intro to Data and Data Science
Intro to Data and Data Science
Introducing you to the field of data science and building your understanding of the key data science terms and processes.
hours 2 hours
Introduction to Microsoft Excel
Introduction to Microsoft Excel
Giving you the skills to crunch numbers in Excel; even in data science, smaller datasets are more quickly preprocessed in Excel than Python, R or SQL.
hours 4 hours
exercises 27 exercises
Advanced Microsoft Excel
Advanced Microsoft Excel
Teaching you how to set up pivot tables and analyze data with filters and calculated fields, as well as advanced Excel tools like function keys, multiple sheets, and circular references.
hours 2 hours
exercises 18 exercises
Probability
Probability
Teaching you the probability theory necessary to think like a data scientist. You will learn about expected values, combinatorics, Bayesian notation, and probability distributions.
hours 4 hours
exercises 36 exercises
Statistics
Statistics
Covering descriptive and inferential statistics, as well as hypothesis testing techniques and exercises, statistics puts the “scientist” in data scientist.
hours 3 hours
exercises 96 exercises
Mathematics
Mathematics
Teaching you the linear algebra you need for the true data science expertise of developing powerful machine learning models.
hours 1 hours
exercises 12 exercises
Introduction to Tableau
Introduction to Tableau
Teaching you how to tell compelling stories with data by building accessible visualizations and dashboards. Present complicated results to non-technical audiences.
hours 2 hours
exercises 10 exercises
Power BI
Power BI
Giving you the skills to create stunning dashboards using all Power BI features. Complete with practical tasks and real-life projects.
hours 8 hours
Module 2 Programming for Data Science

2. Programming for Data Science

In the second module of the training, you will focus on developing a versatile programming skillset. You will start working with relational databases, using essential SQL queries to preprocess data, and coding in Python and leveraging popular Python libraries, like numpy and matplotlib. You will also learn the best ways to manipulate and visualize data in R.
SQL
SQL
Equipping you with the essential data science skills to effectively manage relational databases by extracting, transforming, and loading your data.
hours 8 hours
exercises 63 exercises
SQL + Tableau
SQL + Tableau
Combining two expertises for a powerful integration: extract information from multiple databases using Tableau while coding in SQL.
hours 1 hours
exercises 10 exercises
Introduction to Python
Introduction to Python
Laying the foundations of programming in Python to prepare you for deploying machine and deep learning algorithms later in the training.
hours 2 hours
exercises 40 exercises
Python Programmer Bootcamp
Python Programmer Bootcamp
Developing your programming skills in Python and teaching you how to solve problems in Python by thinking computationally.
hours 11 hours
exercises 32 exercises
Git and GitHub
Git and GitHub
Teaching you the key concepts of version control with Git and GitHub for data scientists.
hours 1 hours
Introduction to R Programming
Introduction to R Programming
Providing you with the skills to manipulate, analyze, and visualize data with the best programming language for statistical analysis for data science.
hours 6 hours
exercises 36 exercises
Data Visualization with Python, R, Tableau, and Excel
Data Visualization with Python, R, Tableau, and Excel
Teaching you how to master the art of creating and styling charts to achieve professional results. The course is based in four different technologies – Excel, Tableau, Python, and R to complete your data visualization skillset.
hours 6 hours
exercises 64 exercises
Module 4 Advanced Specialization

4. Advanced Specialization

Having completed the core part of the training in Modules 1, 2, and 3, you can choose to specialize your data science skill set to meet the needs of different industries. Prepare for a career in the banking or finance sector, or develop your customer analytics expertise to directly help businesses generate value from data. Please be advised that these are advanced matter courses, and a solid understanding of Python programming and statistical modeling is expected. Modules 1, 2, and 3 address these skills.
Credit Risk Modeling in Python
Credit Risk Modeling in Python
Teaching you the programming behind how banks decide who should get a loan. You will learn risk modeling theory and advance your Python modeling skills.
hours 6 hours
exercises 52 exercises
Time Series Analysis in Python
Time Series Analysis in Python
Introducing you to the world of time series and exploring how to utilize Python in analyzing and modeling such data. We will also discuss volatility and making forecasts about the future.
hours 5 hours
exercises 17 exercises
Customer Analytics in Python
Customer Analytics in Python
Introducing you to Customer Analytics with Python. You will learn the fundamentals of marketing, as well as the practical skills to analyze customer data and predict the purchase behavior of clients.
hours 5 hours
exercises 6 exercises
Web Scraping and API Fundamentals in Python
Web Scraping and API Fundamentals in Python
Introducing you to the fundamentals of data extraction from the web using Python. We will learn about APIs, Beautiful Soup and Requests-HTML.
hours 4 hours
exercises 8 exercises
Python for Finance
Python for Finance
This course will take your analytical thinking to the next level by blending programming skills in Python and financial theory, while working with real-world data.
hours 5 hours
exercises 34 exercises
Introduction to Business Analytics
Introduction to Business Analytics
Introducing you to Business Analytics. You will learn how to implement a diverse range of analytical techniques in practice to manage a successful analytics project in a large blue-chip corporation.
hours 5 hours
exercises 7 exercises

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Whether you want to scale your career or transition into a new field, data science is the number one skillset employers look for. Grow your analytics expertise and get hired as a data scientist!
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