10 Data Analyst Training Courses

1. Preparing the Data

This data analyst training course offered in SC Training (formerly EdApp) is designed to help you learn key concepts and develop skills when it comes to data preparation. It starts by defining what data means and what it consists of. Next, you’ll learn about the different classifications of data and each type’s use cases. Lastly, this course will discuss data listing, which will teach you how to make a good list of data using various sets of rules.

This course consists of three bite-sized lessons, which follow a microlearning design model. Information is broken down into easily digestible chunks delivered in short bursts, which makes knowledge easy to grasp. Additionally, this course can be fully edited allowing you to add relevant information, images, branding, and many more to tailor to your company’s needs.

Cost: Free

Scope: Defining data, types of data, data listing

Created By SC Training (formerly EdApp)

3. Google Data Analytics Professional Certificate

This course will equip data analysts with the skills and tools they need to be able to perform their tasks. This includes organizing, cleansing, and presenting big data using spreadsheets, R programming, Tableau dashboard, databases, and more. This training will also teach them how to visualize their data and findings, and present the data-sets using different visualization platforms. The good news is that his course is free to take and doesn’t follow a set schedule. However, it takes approximately 6 months to complete as Coursera suggests a pace of 10 hours per week for better comprehension and understanding.

Cost: Free

Scope: Data visualization, data cleaning, data analysis, data collection

Created by Coursera

5. Data Analysis Essentials

This course is ideal for those who want to take up an MBA program but can also be used by any individual who wants to learn about data analysis. It will equip learners with skills to analyze the data they encounter in their day-to-day life and how it contributes to success, especially in a business environment. This course is targeted at beginners so there’s no need to worry if you have no prior knowledge about the topic. As this is an introductory course, concepts are clearly explained and examples are provided so that learning can be applied immediately.

Cost: Free

Scope: Presenting & summarizing data, data-based decision making, modeling for decision making

Created by edX

6. Tableau Certification

Simplilearn collaborated with IBM to create this course that will turn you into an expert Tableau Desktop user which is the preferred reporting tool by businesses all around the world. This course will teach essential skills such as building interactive dashboards, establishing data connections, data mining, and mapping data. There are two simulation exams and four hands-on projects included in the curriculum to readily apply the knowledge in this course. Once you’ve completed this course, an industry-recognized course completion certificate will be provided.

Cost: USD $699

Scope: Tableau statistics, interactive dashboards, real-time industry projects

Created by Simplilearn

8. Data Analytics: Hands On

This course can be taken by both newbies and experienced data analysts. It teaches key concepts and hands-on skills which are broken down into segments of what, why, how, and where so you can easily jump to any topic of interest. This course will teach the basics of an Excel spreadsheet, SQL, and Tableau which are the common SAS tools used in the field. At the end of the course, learners will be taught how to present their findings. To access this course, you’ll need to pay for a subscription to Pluralsight which will also give you access to the rest of their content library. They offer a 10-day trial so you can check if their courses are right for you. 

Cost: Starts at USD $19

Scope: Introduction to data analytics, data modeling, data warehousing

Created by Pluralsight

10. Data Science: Probability

This course by Harvard was inspired by the financial crisis of 2007–2008 that partly happened due to the underestimation of a probability. Whether you're a data analyst or a data scientist, you'll be able to gain more insights into probability and exploratory data analysis through this beginner course. It introduces the basics of probability and the key concepts around the theory. These are important to learn as they are crucial in determining if your data analysis results are due to an experimental method or by chance. It's also important to learn more about probability as a foundation of machine learning and statistical learning. Among the topics covered are performing a Monte Carlo simulation, the importance of the Central Limit Theorem, and expected values & standard errors. This course takes 8 weeks to complete with a recommended 1-2 hours per week pace.

Cost: Free

Scope: Basics of probability, statistics, Central Limit Theorem, Monte Carlo simulation

Created by Harvard University