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IBM Data Analyst

Alex Aklson, Rav Ahuja, Hima Vasudevan, Joseph Santarcangelo, Steve Ryan, Sandip Saha Joy, Kevin McFaul, Ramesh Sannareddy, Saishruthi Swaminathan, and Dr. Pooja
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What's inside

Seven courses

Databases and SQL for Data Science with Python

(20 hours)
Working knowledge of SQL is a must for data professionals. Much of the world's data resides in databases. SQL is a powerful language used for communicating with and extracting data from databases. In this course, you will learn SQL inside out—from the very basics of Select statements to advanced concepts like JOINs.
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Data Analysis with Python

(15 hours)
Analyzing data with Python is essential for Data Scientists and Data Analysts. This course covers basics of data analysis with Python to building and evaluating data models. Topics include collecting, importing, cleaning, preparing, formatting data, data frame manipulation, summarizing data, building machine learning regression models, model refinement, and creating data pipelines.
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Introduction to Data Analytics

Ready to start a career in Data Analysis? This course presents a gentle introduction to Data Analysis, the role of a Data Analyst, and the tools used in this job. You will learn about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career.
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Excel Basics for Data Analysis

Spreadsheet tools like Excel are essential for working with data. This course provides a basic working knowledge of Excel and how to use it for analyzing data. It is suitable for those interested in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain. No prior experience with spreadsheets or coding is required.
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Data Visualization with Python

One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. In this course, you will learn many ways to effectively visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights.
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IBM Data Analyst Capstone Project

By completing this final capstone project, you will apply various Data Analytics skills and techniques that you have learned as part of the previous courses in the IBM Data Analyst Professional Certificate. You will assume the role of an Associate Data Analyst who has recently joined the organization and be presented with a business challenge that requires data analysis to be performed on real-world datasets.
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Data Visualization and Dashboards with Excel and Cognos

Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without writing any code.
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Time
2100 hours
Via
Coursera
Institution
IBM
Instructors
Alex Aklson
Rav Ahuja
Hima Vasudevan
Joseph Santarcangelo
Steve Ryan
Sandip Saha Joy
Kevin McFaul
Ramesh Sannareddy
Saishruthi Swaminathan
Dr. Pooja
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