9 Udemy Courses on Data and Website Analytics in 2018

8 min readFeb 7, 2018
Artist: Tony Babel

There are so many courses available on Udemy so it’s easy to get overwhelmed. Sometimes telling the difference between good or bad is not a simple task. Efficient learning often correlates with practical training. The world of data and analytics is a good example. Before jumping into the ocean stop for a minute to choose a course that fits your — or your company’s — needs and solves problems in a practical way.

Data and Website Analytics has a vast set of tools and technologies that are used in the industry.

#1 Scale Your Business With Web Analytics & Conversion Strategy

Website Analytics conversion funnel

Website Analytics, usability and conversion rate optimization are a powerful combination for transforming a business’ reach and revenue. Not only that Website Analytics can help, but without implementing it businesses wouldn’t be able to scale their online sales since it would be nearly impossible to find new website traffic.

In this course, you’ll learn how to create and review detailed website analytics reports. Find weak points in usability and make improvements.

Pre-requirements: If you have experience with creating a website and have some basic understanding of website analytics that’s helpful but not expected.

Rating: 4.4 out of 5

Lectures: 87

Video content: 5 hours

About the Instructor:

Course Instructor Christine Maisel
Christine Maisel

Christine is the founder of the Portable Entrepreneur. With nearly 15 years of experience in Web Design, she helps startups through coaching. She has built hundreds of websites and blogs based on WordPress.

#2 How to Start A Career in Digital & Web Analytics

illustration of Website Analytics tool

If you are planning to dive deeper into the world of Digital and Website Analytics then this course gives a great introduction to these fields. Digital, Data, Marketing and Website Analytics are hot topics in today’s economy. Due to a large number of products and services available now online, every company is spending money on, website, search advertising, social media advertising and so on. Therefore there is a growing demand for Digital Analysts who collect and analyze all the user and marketing data to help the organization become competitive.

Pre-requirements: If you have a computer that works that’s great. If you can turn it on that’s even better.

Rating: 4.4 out of 5

Lectures: 14

Video content: 1 hour

About the Instructor:

Course Instructor Anil Batra
Anil Batra

Anil has over 15 years of experience and has taught and trained several students in Marketing and Analytics at UBC, University of Washington and Bellevue College for 9 years.

#3 First Steps in Web Analytics

Website Analytics graph

Understanding web traffic is essential for a company. Who are your visitors, where do they come from and why? This is a very basic crash course for those who are completely new to Website Analytics in general but want to join the game. It is a great example of why you shouldn’t be afraid to invest your time into Website Analytics. From this course, you will learn the basic terminology, how to measure your site’s effectiveness, what are KPIs and how to define them for your website.

Pre-requirements: A beginner friendly course, no prior experience required only basic tools such as a computer.

Rating: 4.0 out of 5

Lectures: 13

Video content: 1 hour

About the Instructor:

Course Instructor iMarketer Startup School
iMarketer Startup School

Digital Marketing for Startups

#4 Introduction to Data Analysis using EXCEL for Beginners

Data Analytics graphs

Do you want to be more comfortable with Excel? If you have data for your work or business or receive Excel spreadsheets from others but want to better understand how they arrived at their conclusions this course is a great starting point. You’ll be able to understand terms and techniques such as Pivot Tables and Vlookups.

Pre-requirements: The only things you’ll need is a computer and Excel itself.

Rating: 4.6 out of 5

Lectures: 118

Video content: 4.5 hours

About the Instructors:

Course Instructor Symon He
Symon He

Graduated Magna Cum Laude in Computer Engineering and Economics from UC Irvine and holds an MBA from Stanford University. He was Head of Marketing Analyst at the Panda Restaurant Group and helps startup founders and small businesses to build financial models.

Course Instructor Travis Chow
Travis Chow

Holds degrees in Computer Science and studied Financial Mathematics at the University of Chicago. Co-founded his first company at age 22, and currently teaches people how to scale businesses in an efficient way to expand into international markets.

#5 Data Analysis in Excel with Statistics: Get Meanings of Data

Data Analytics tools

You will learn how to create valuable statistical data such as Mean, Median, Mode, Variance, Standard Deviation and more using Excel. You will know how to group and build charts, apply trendlines, identify and minimize the margin of errors. Don’t worry the requirements are very basic and more like an advice.


  • know how to gather and organize data efficiently, create and modify charts
  • be comfortable with Excel formulas

Rating: 4.6 out of 5

Lectures: 82

Video content: 7 hours

About the Instructor:

Course Instructor Kawser Ahmed
Kawser Ahmed

Kawser is a full-time data analysis blogger (using Excel & other tools), corporate Excel trainer, & entrepreneur. You can check out his blog ExcelDemy.com.

#6 Excel Data Analysis: Produce Great Reports, Basic Statistics

Excel in data analytics

If you’re a recent graduate or just wish to get into the world of analytics without throwing yourself into the ocean of tools, this course really helps to appreciate Excel more. You will gain the needed skills to take raw data and turn it into meaningful Data Analysis & Statistics reports. Even if your workflow doesn’t involve a lot of Excel you’ll find something useful here, presented in a professional way and casual tone.

Pre-requirements: If you are familiar with Excel basic formulas and formatting that’s good but not expected.

Rating: 4.1 out of 5

Lectures: 21

Video content: 4 hours

About the Instructor:

Course Instructor Tom Vorves
Tom Vorves

With more than 25 years of teaching experience, Tom has trained everything from small businesses to large corporates.

#7 SQL for Newbs: Data Analysis for Beginners

Course image of Data Analytics for Beginners

SQL is in great demand, so if you decide to go for it you won’t regret your decision. If you’re a marketer with no technical background you’ll find this course useful and beginner friendly. With SQL you can discover valuable insights about user behavior, create dashboards in order to track and measure progress. It’s also a great addition to your CV so if you’re a student, you’ll gain more confidence when attending on interviews.

Pre-requirements: As the title says, this is a beginner friendly course, no technical background is expected.

Rating: 4.4 out of 5

Lectures: 35

Video content: 3.5 hours

About the Instructors:

Course Instructor David Kim
David Kim

Graduated from UC Berkeley, then started working at Udemy where he learned SQL. Currently works as Product Manager at Udemy.

Course Instructor Peter Sefton
Peter Sefton

Graduated from Stanford University he started working at Udemy where he learned SQL. Currently works in a Data Analyst position at Udemy.

#8 Data Analysis with Pandas and Python

Illustration of Data Analytics on a laptop

What is Pandas? It is a library based on the Python programming language developed by Guido van Rossum in 1989. Don’t let the date fool you. It is a highly versatile language that is constantly being developed since it was launched. It was picked up by the data science community in the last couple of years. This is mostly due to the fact that Pandas holds a bunch of features and functionalities focusing on data analysis. Before you decide to enroll this course, it is a good idea to have some knowledge of Python or R.

Pre-requirements: Experience with Excel (knowing common functions, Pivot Tables). Basic experience with Python and have a firm understanding of what strings, integers, booleans mean.

Rating: 4.6 out of 5

Lectures: 174

Video content: 19 hours

About the Instructor:

Course Instructor Boris Paskhaver
Boris Paskhaver

Boris is a New York City-based Software Engineer with experience building apps with React / Redux, Angular, and Ruby on Rails. He also has a degree in Business Economics and Marketing.

#9 Data Analysis with Python & Pandas

Logo of Python programming language

This course is different from the number 2 on this list. It is for those who are interested in learning data analysis and have no prior experience with the Python programming language. The course is highly project-oriented, which means you will be building a data analysis and visualization program using Python scripts. You will learn the fundamental building blocks of the language such as:

  • variables
  • datatypes
  • loops
  • conditionals
  • functions

Pre-requirements: This is a beginner friendly course, so you don’t need any experience with Python.

Rating: 4.4 out of 5

Lectures: 22

Video content: 4.5 hours

About the Instructor:

Course Instructor Ardit Sulce
Ardit Sulce

Ardit holds a master’s degree in Geospatial Technologies from University of Muenster, Germany. He is really passionate when it comes to teaching Python. Besides Python, he is also expert in data analysis and GIS.

“Formal education will make you a living; self-education will make you a fortune.”
Jim Rohn

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