This course presents a gentle introduction into the concepts of data analysis, the role of a Data Analyst, and the tools that are used to perform daily functions. You will gain an understanding of the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining. You will then learn the soft skills that are required to effectively communicate your data to stakeholders, and how mastering these skills can give you the option to become a data driven decision maker.
About this Course
Learner Career Outcomes
Skills you will gain
Learner Career Outcomes
IBM Skills Network
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
- 5 stars80.04%
- 4 stars16.95%
- 3 stars2.10%
- 2 stars0.36%
- 1 star0.53%
TOP REVIEWS FROM INTRODUCTION TO DATA ANALYTICS
Very good course, giving beginners an overview of various aspects of data analysis, as well as having data analysts share their experiences, which is a great way for learners to get to know the field.
Great general and broad information on data analytics. Gives good ideas and examples of career paths that can be followed. I especially liked how it ranked the various careers and specializations.
Great foundational course for begginers. It provides overview of data analytics, tools used in data analysis, skill requirements, and examples of typical career paths taken by data analysts.
This course offers a comprehensible introduction to Data Analytics. It helped me to expand my research into broader concepts, and about software available for data wrangling and visualization.
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