Description
The IBM Data Analyst Professional Certificate is a collection of 8 different courses to gain the skills needed for the job of data analytics, which can be used to have a better place in the data analysis job market (which will experience 20% growth by 2028). Strengthen your data analysis job with data analysis principles and gain practical skills. You will learn about a variety of data warehouses, different scenarios, and various data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, and the application of analytics techniques.
This course does not require any previous programming experience or statistical skills and is also suitable for students with or without a university degree. All you need to get started is basic computer literacy, high school math, working with numbers, a desire to learn, and a desire to reinforce your profile with valuable skills.
What you will learn in the IBM Data Analyst Professional Certificate training package:
- Become an expert in using spreadsheets and using Excel to perform types of data analysis such as data wrangling and data mining
- Build a variety of charts in Excel and work with IBM Cognos Analytics to build dashboards and visualize data using Python libraries like Matplotlib
- Develop working knowledge of Python language to analyze data using Python libraries such as Pandas and Numpy and call APIs and web services
- Describe the data ecosystem and sort queries for accessing data in online databases using SQL and Python from Jupyter notebooks
Course specifications
- Publisher: Coursera
- University: IBM
- Teachers: Rav Ahuja, Sandip Saha Joy, Steve Ryan, Kevin McFaul, Joseph Santarcangelo, Hima Vasudevan, Alex Aklson, Ramesh Sannareddy, Saishruthi Swaminathan
- elementary level
- Number of courses: 9 courses
- Duration: including 11 hours of weekly work, approximately 11 months
- English language
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Courses offered in the IBM Data Analyst Professional Certificate:
COURSE 1
Introduction to Data Analytics
COURSE 2
Excel Basics for Data Analysis
COURSE 3
Data Visualization and Dashboards with Excel and Cognos
COURSE 4
Python for Data Science, AI & Development
COURSE 5
Python Project for Data Science
COURSE 6
Databases and SQL for Data Science with Python
COURSE 7
Data Analysis with Python
COURSE 8
Data Visualization with Python
COURSE 9
IBM Data Analyst Capstone Project
IBM Data Analyst Course prerequisites
No specialized background or degree is needed. However, you are expected to have basic computer literacy, high-school level mathematics, and be comfortable working with numbers.
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This collection includes 9 separate courses.
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Introduction to Data Analytics
Excel Basics for Data Analysis
Data Visualization and Dashboards with Excel and Cognos
Python for Data Science, AI & Development
Python Project for Data Science
Databases and SQL for Data Science with Python
Data Analysis with Python
Data Visualization with Python
IBM Data Analyst Capstone Project
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