Online Course – Certified Professional Internship in Data Analysis and Visualization from Google, IBM

Enhance your career with data analysis and visualization skills. Learn to analyze data using Excel sheets and create stunning visualizations and interactive dashboards with Cognos.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Familiarity with spreadsheets such as Excel.
  • Summarize, sort, filter, and create pivot tables.
  • Create visualizations such as line graphs, bar charts, and pie charts.
  • Building interactive dashboards.

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Business Analyst
  • Data Project Manager
  • Dashboard developer
  • Data Visualization Expert
  • Information Systems Manager
  • Systems Analyst
  • Digital marketing professional
  • Sales Manager
  • Product Manager

Internship – Series of 4 courses

Pioneering data understanding and communicating findings has become a vital part of almost every profession. This specialization prepares you for data-driven transformation by teaching you the fundamental principles of data analysis and visualization, and provides you with the tools and practical experience to effectively present your data discovery results.

What will you learn?

  • Familiarity with spreadsheets such as Excel.
  • Summarize, sort, filter, and create pivot tables.
  • Create visualizations such as line graphs, bar charts, and pie charts.
  • Building interactive dashboards.

Target audience

The specialization is designed for learners interested in starting a career in data or business analytics, as well as people in other professions who need basic data analysis and visualization skills.

Curriculum

This program is recommended by ACE® – when you pay, you can earn up to 9 academic credits.

Applied learning project

Build your analytics portfolio while gaining hands-on experience by creating projects in interactive labs throughout the program:

  • In the first course: Create visualizations to detect fraud by analyzing credit card data.
  • In the second course: Import, clean, and analyze fleet vehicle inventory using Excel pivot tables.
  • In the third course: Use automotive sales key performance indicator (KPI) data to create an interactive dashboard.

All you need is a modern web browser to complete the exercises and hands-on projects – there’s no need to download or install anything on your device.

Details of the courses that make up the specialization

Introduction to Data Analysis

Course 1
10 hours
4.8 (16,464 ratings)

What will you learn?

  • Explain what data analysis is and what the key steps in this process are.
  • Distinguish between different roles in the data world
  • Describe the types of data structures and file formats
  • Describe the data analysis process

Skills you will develop

  • Data Science
  • Spreadsheet
  • Data Analytics
  • Microsoft Excel
  • Data visualization

Excel Basics for Data Analysis

Course 2
11 hours
4.8 (8,389 ratings)

What will you learn?

  • Be proficient in working with Excel for data analysis
  • Perform basic spreadsheet tasks
  • Use data quality control techniques
  • Analyze data in spreadsheets

Skills you will develop

  • Data Science
  • Spreadsheet
  • Data Analytics
  • Microsoft Excel
  • Axis reports

Data visualization and reports with Excel and Cognos

Course 3
15 hours
4.7 (3,786 ratings)

What will you learn?

  • Create basic visualizations using Excel
  • Explain the important role of charts
  • Build advanced charts and presentations
  • Build and share interactive dashboards

Skills you will develop

  • Data Analytics
  • Microsoft Excel
  • IBM Cognos Analytics
  • dashboard
  • Data visualization

Assessment of the basics of data analysis and visualization

Course 4
1 hour
4.6 (241 ratings)

What will you learn?

  • Demonstrate readiness to perform basic data analysis tasks
  • Distinguish the different roles of data professionals
  • Perform basic Excel tasks for data analysis
  • Discover data visualization capabilities

Skills you will develop

  • Data structures
  • Data Analytics
  • Microsoft Excel
  • Cognos Analytics
  • Pivot charts