What you will learn
Demonstrate proficiency in using spreadsheets and utilizing Excel to perform a variety of data analysis tasks like data wrangling and data mining
Create various charts and plots in Excel & work with IBM Cognos Analytics to build dashboards. Visualize data using Python libraries like Matplotli
Develop working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services
Describe data ecosystem and Compose queries to access data in cloud databases using SQL and Python from Jupyter notebooks
The Data Analysis Certification is an accreditation that endorses you both for the knowledge and practical application of best practices used in analyzing statistical data.
The certification is the result of a complex, experiential learning program that has 3 sections: pre-course activities, 3 days core-course activities and post-course assignments.
You will acquire the tools and skills needed to develop complex data analysis, useful for the processing and interpretation of data and relevant for your company’s profile.
About this Professional Certificate408,252 recent views
Gain the job-ready skills for an entry-level data analyst role through this eight-course Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth until 2028 (U.S. Bureau of Labor Statistics).
Power your data analyst career by learning the core principles of data analysis and gaining hands-on skills practice. You’ll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation and applying analytical techniques.
This Professional Certificate does not require any prior programming or statistical skills, and is suitable for learners with or without college degrees. All you need to get started is basic computer literacy, high school math, comfort working with numbers, willingness to learn, and a desire to enrich your profile with valuable skills.
|Language||Date||Start TIME EMEA||Start TIME ASEAN||Standard Fee||Special Fee|
|English||13 Aug 2023||08:00 - 13:30||14:00 - 18:00||USD $ 1,400|
|English||03 Sep 2023||08:00 - 13:30||14:00 - 18:00||USD $ 1,400|
|English||25 Sep 2023||08:00 - 13:30||14:00 - 18:00||USD $ 1,400|
|English||08 Oct 2023||08:00 - 13:30||14:00 - 18:00||USD $ 1,400|
|English||22 Oct 2023||08:00 - 13:30||14:00 - 18:00||USD $ 1,400|
|English||13 Nov 2023||08:00 - 13:30||14:00 - 18:00||USD $ 1,400|