IBM
IBM Data Analytics with Excel and R Professional Certificate
IBM

IBM Data Analytics with Excel and R Professional Certificate

Prepare for a career in data analytics. Gain the in-demand skills and hands-on experience to get job-ready in less than 3 months. No prior experience required.

IBM Skills Network Team
Rav Ahuja
Saishruthi Swaminathan

Instructors: IBM Skills Network Team

28,514 already enrolled

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Earn a career credential that demonstrates your expertise
4.7

(2,068 reviews)

Beginner level

Recommended experience

3 months
Approx. 10 hours a week
Self-paced, no deadlines
Earn degree credit

What you'll learn

  • Master the most up-to-date practical skills and knowledge data analysts use in their daily roles

  • Learn how to perform data analysis, including data preparation, statistical analysis, and predictive modeling using R, R Studio, and Jupyter

  • Utilize Excel spreadsheets to perform a variety of data analysis tasks like data wrangling, using pivot tables, data mining, & creating charts

  • Communicate your data findings using various data visualization techniques including, charts, plots & interactive dashboards with Cognos and R Shiny

Details to know

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Taught in English

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Prepare for a career in Data Analytics

  • Receive professional-level training from IBM
  • Demonstrate your proficiency in portfolio-ready projects
  • Earn an employer-recognized certificate from IBM
  • Qualify for in-demand job titles: Data Analyst, Associate Data Analyst, Business Analyst
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$90,000+
median U.S. salary for Data Analytics
¹
82,000+
U.S. job openings in Data Analytics
¹

Get exclusive access to career resources upon completion

  • Soft skills training

    Get free access to IBM’s People and Soft Skills Specialization

  • Resume review

    Improve your resume and LinkedIn with personalized feedback

  • Interview prep

    Practice your skills with interactive tools and mock interviews

  • Career support

    Plan your career move with Coursera’s job search guide

¹Lightcast™ Job Postings Report, United States, 7/1/22-6/30/23. ²Based on program graduate survey responses, United States 2021.

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Professional Certificate - 9 course series

Introduction to Data Analytics

Course 110 hours4.8 (14,968 ratings)

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process

  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst

  • Describe the different types of data structures, file formats, and sources of data

  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

Category: Data Science
Category: Linear Regression
Category: Data Visualization
Category: R Programming
Category: Exploratory Data Analysis

Excel Basics for Data Analysis

Course 211 hours4.8 (7,605 ratings)

What you'll learn

  • Display working knowledge of Excel for Data Analysis.

  • Perform basic spreadsheet tasks including navigation, data entry, and using formulas.

  • Employ data quality techniques to import and clean data in Excel.

  • Analyze data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables.

Skills you'll gain

Category: Data Science
Category: Spreadsheet
Category: Data Analysis
Category: Microsoft Excel
Category: Data Visualization

Data Visualization and Dashboards with Excel and Cognos

Course 315 hours4.7 (3,510 ratings)

What you'll learn

  • Create basic visualizations such as line graphs, bar graphs, and pie charts using Excel spreadsheets.

  • Explain the important role charts play in telling a data-driven story. 

  • Construct advanced charts and visualizations such as Treemaps, Sparklines, Histogram, Scatter Plots, and Filled Map Charts.

  • Build and share interactive dashboards using Excel and Cognos Analytics.

Skills you'll gain

Category: Data Science
Category: R Programming

What you'll learn

  • Demonstrate readiness for performing foundational data analysis and data visualization tasks and key steps in the Data Analytics process.

  • Differentiate between the roles different data professionals play in a modern data ecosystem.

  • Perform basic Excel tasks for Data Analysis including data quality and data preparation skills.

  • Exhibit abilities in visualizing data using Excel and proficiency in creating dashboards using Excel and Cognos Analytics.

Skills you'll gain

Category: Data Analysis
Category: Microsoft Excel
Category: IBM Cognos Analytics
Category: Dashboard
Category: Data Visualization

Introduction to R Programming for Data Science

Course 510 hours4.5 (429 ratings)

What you'll learn

  • Manipulate primitive data types in the R programming language using RStudio or Jupyter Notebooks.

  • Control program flow with conditions and loops, write functions, perform character string operations, write regular expressions, handle errors.

  • Construct and manipulate R data structures, including vectors, factors, lists, and data frames.

  • Read, write, and save data files and scrape web pages using R.

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Statistical Analysis
Category: Data Visualization
Category: R Programming

SQL for Data Science with R

Course 627 hours4.3 (129 ratings)

What you'll learn

  • Create and access a database instance on the cloud

  • Compose and execute basic SQL statements - SELECT, INSERT, UPDATE, DELETE, CREATE, DROP

  • Construct SQL statements to filter, sort, group results, use built-in functions, compose nested queries, access multiple tables

  • Analyze data from Jupyter using R and SQL by combining SQL and R skills to query real-world datasets

Skills you'll gain

Category: Data Structure
Category: Data Analysis
Category: Microsoft Excel
Category: cognos analytics
Category: Pivot Charts

Data Analysis with R

Course 716 hours4.7 (272 ratings)

What you'll learn

  • Prepare data for analysis by handling missing values, formatting and normalizing data, binning, and turning categorical values into numeric values.

  • Compare and contrast predictive models using simple linear, multiple linear, and polynomial regression methods.

  • Examine data using descriptive statistics, data grouping, analysis of variance (ANOVA), and correlation statistics.

  • Evaluate a model for overfitting and underfitting conditions and tune its performance using regularization and grid search.

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Data Visualization
Category: R Programming

Data Visualization with R

Course 812 hours4.6 (208 ratings)

What you'll learn

  • Create bar charts, histograms, pie charts, scatter plots, line graphs, box plots, and maps using R and related packages.

  • Design customized charts and plots using annotations, axis titles, text labels, themes, and faceting.

  • Create maps using the Leaflet package for R.

  • Create interactive dashboards using the Shiny package for R.

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Select (Sql)
Category: Relational Databases (RDBMS)
Category: R Programming

Data Science with R - Capstone Project

Course 924 hours4.6 (67 ratings)

What you'll learn

  • Write a web scraping program to extract data from an HTML file using HTTP requests and convert the data to a data frame.

  • Prepare data for modelling by handling missing values, formatting and normalizing data, binning, and turning categorical values into numeric values.

  • Interpret datawithexploratory data analysis techniques by calculating descriptive statistics, graphing data, and generating correlation statistics.

  • Build a Shiny app containing a Leaflet map and an interactive dashboard then create a presentation on the project to share with your peers.

Skills you'll gain

Category: Data Science
Category: Spreadsheet
Category: Data Analysis
Category: Microsoft Excel
Category: Pivot Table

Instructors

IBM Skills Network Team
IBM
57 Courses793,601 learners
Rav Ahuja
IBM
52 Courses2,528,280 learners
Saishruthi Swaminathan
IBM
2 Courses290,889 learners

Offered by

IBM

Get a head start on your degree

When you complete this Professional Certificate, you can earn college credit if you are admitted and enroll in one of the following online degree programs.¹

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Degree credit eligible

This Professional Certificate has ACE® recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution.

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