The field of data science is rapidly expanding, opening up doors to a host of positions, such as data analyst, statistician, and data manager. Data science isn’t the easiest topic to tackle, but Udemy’s Data Science A-Z™: Real-Life Data Science Exercises Included course offers students of all experience levels the chance to study at their pace, on their own time, and from wherever they are.
When it comes to learning data science, a hands-on, practical approach is the most effective way to dive right in and go beyond mere theory so you can start doing. If you’re interested in learning more than just what data science is and how to get a job in the field, and you want to instead experience what it’s like to work as a data scientist, this course is a perfect match.
Data Science A-Z™ Course Content
This course contains over 200 lectures and more than 20 hours of content. You’ll complete a variety of exercises that will give you a glimpse into the struggles that a data scientist goes through daily, from anomalies and corrupt data to irregularities.
This course is comprehensive and does cover the A to Z of data science:
- Cleaning and preparing data for analysis
- Performing basic visualization of data
- Modeling and curve-fitting your data
- Impressively presenting your findings to your managers and bosses
The great thing about Udemy is the fact that you get lifetime access to any course you enroll in, so you can take as much time to complete the course as you need. And you can always return to the materials whenever you need to review them or refresh your memory.
Over 6,000 students have already enrolled in Data Science A-Z, and roughly 150 of them have left their feedback on the course, which has a 5-star rating.
Many students were so excited with this course that they left 5-star reviews before they even completed it. Others found the instruction to have a great pace and instruction was clear, easy to understand, comprehensive, informative, and useful.
Students also like the fact that there are plenty of real-world exercises throughout the course. These hands-on lessons teach you how to use tools like SQL, SSIS, Tableau, and Gretl to perform every task a data scientist would need to accomplish on the job.
Summary of Main Course Features
- Instructor: Kirill Eremenko
- Lectures: 207
- Video: 20.5 hours
- Skill level: All levels
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