Professional Certificate in Data Analyst

IBM

via

edX

Course Features

Duration

10 months

Delivery Method

Online

Available on

Limited Access

Accessibility

Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Effort

4 hours per week

Teaching Type

Self Paced

Course Description

The IBM Professional Certificate consists of eight courses that prepare you for a job as a data analyst. You can be competitive and get a job as a data analyst in a growing market. Or, you can use your foundational data skills to solve problems in an ever-data-driven professional environment. According to the U.S. Bureau of Labor Statistics, there will be a 20% increase in data analytics industry growth until 2028.

The core principles of data analysis will be taught, along with hands-on practice. This will allow you to make better business decisions for companies. You will be able to work with many data sources and project scenarios. These online courses will give you hands-on experience in data manipulation and the application and visualization of data.

The Professional Certificate is open to all learners, regardless of their college degree. It does not require programming or statistical skills. This course requires basic computer literacy, comfort with math and willingness to learn.

The IBM Data Analyst Professional Certificate will give you the confidence to start a career as an associate/junior data analyst. You'll also learn the skills that are essential for professionals working in many industries and job functions to solve business problems.

Course Overview

International Faculty

Post Course Interactions

Instructor-Moderated Discussions

Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

It does not require programming or statistical skills

This course requires basic computer literacy, comfort with math and willingness to learn

What You Will Learn

Create charts and plots in Excel, and work with IBM Cognos Analytics to build dashboards

Describe the data ecosystem and Compose queries to access data in cloud databases using SQL and Python from Jupyter notebooks

Develop a working knowledge of Python language to analyze data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services

Perform data analysis tasks like data mining and data wrangling using Excel spreadsheets and Jupyter Notebooks

Visualize data using Python libraires like Matplotlib, Seaborn, and Folium

Course Content

Expand all sections

Module 1: Data Analytics Basics for Everyone

Module 2: Analyzing Data with Excel

Module 3: Data Visualization and Building Dashboards with Excel and Cognos

Module 4: Python Basics for Data Science

Course Instructors

Rav Ahuja

AI and Data Science Program Director

Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to...

Sandip Saha Joy

Cognitive Data Scientist

Sandip Saha Joy is currently working as a Cognitive Data Scientist for IBM. He is pursuing a Bachelor of Science with Specialization in Computing Science at the University of Alberta, Canada. Before ...

Steve Ryan

Instructor & Content Developer

Steve Ryan is based in the UK and works for Skill-Up Technologies as a Senior Instructional Designer and Content Developer. His background is in IT, and had been a Microsoft Certified Trainer since 1...

Ramesh Sannareddy

Content Developer

Ramesh Sannareddy holds a Bachelors Degree in Information Systems (Birla Institute of Technology, Pilani). He has two and a half decades of experience in Information Technology Infrastructure Managem...