Data Analyst Career Track

Gain the skills for a data analyst career. Solve issues through an analytical lens and empower businesses to make informed decisions.

10 Career Track Courses

54 Hours of Video

Certificate of Achievement

Start Your Career

Data Analyst Career Track Courses

Master the ins and outs of foundational data analysis tools with courses on in-demand software like Excel and SQL. Then, learn to leverage the popular programming language Python and its fundamental data cleaning and preprocessing libraries: pandas and NumPy. Supplement your data analyst training with the full range of data visualization practices you need to tell compelling stories through data. Following this structured roadmap, you’ll sharpen your analytical mindset and develop the skills to land a rewarding data analyst job successfully.

Optional

Introduction to Data and Data Science

with Martin Ganchev and Iliya Valchanov

4.8/5

(10264)

Introducing you to the field of data science and building your understanding of the key data science terms and processes.

3 hours 22 lessons

Required

Introduction to Excel

with Ned Krastev

4.8/5

(6429)

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.

5 hours 83 lessons

Required

Statistics

with Iliya Valchanov

4.8/5

(3595)

Covering descriptive and inferential statistics, as well as hypothesis testing techniques and exercises, statistics puts the “scientist” in data scientist.

5 hours 44 lessons

Required

SQL

with Martin Ganchev and Vladimir Saev

4.8/5

(2860)

Equipping you with the essential data science skills to effectively manage relational databases by extracting, transforming, and loading your data.

12 hours 121 lessons

Required

Introduction to Python

with Martin Ganchev

4.8/5

(2775)

Laying the foundations of programming in Python to prepare you for deploying machine and deep learning algorithms later in the training.

3 hours 41 lessons

Required

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

with Elitsa Kaloyanova

4.8/5

(925)

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.

9 hours 100 lessons

Required

Data Preprocessing with NumPy

with Viktor Mehandzhiyski

4.8/5

(718)

This course will guide you through one of Python’s most notable packages – NumPy. We’ll explain why it’s so popular and discuss the numerous applications of its crown jewel – the ndarray class.

8 hours 68 lessons

Required

Data Cleaning and Preprocessing with pandas

with Martin Ganchev

4.7/5

(1145)

Introducing you to the fundamentals of the quintessential Python data analysis library, pandas, and its core data structures – the Series and DataFrame objects.

3 hours 27 lessons

Elective

SQL for Data Science Interviews

with Tina Huang

4.8/5

(604)

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.

3 hours 23 lessons

Elective

Dates and Times in Python

with Martin Ganchev and Ivan Manov

4.9/5

(225)

Providing you with the skillset required for manipulating date and time values in Python. Includes a practical example where you will work with a sales company’s dataset to put your theoretical knowledge into action.

3 hours 23 lessons

Data Analyst Career Track

10 Courses

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