IBM Data Analytics with Excel and R

IBM Data Analytics with Excel and R

IBM Data Analytics with Excel and R Professional Certificate About Outcomes Courses Testimonials 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. Taught in English Some content may not

Description

In the fast-paced world of business, gaining actionable insights from data has become a crucial aspect of decision-making. Organizations that effectively harness the power of data analytics are better equipped to make informed choices that drive growth and success. With the rise of big data, companies are increasingly turning to advanced tools and technologies to analyze and interpret vast amounts of information. One such tool that has gained popularity in recent years is IBM Data Analytics with Excel and R.

IBM Data Analytics with Excel and R is a powerful solution that enables users to seamlessly integrate the capabilities of Excel and R programming language to analyze and visualize data. Excel, with its familiar interface and robust data manipulation features, serves as the foundation for data processing, while R, a versatile and widely-used programming language for statistical analysis, provides advanced modeling and visualization capabilities

IBM

IBM Data Analytics with Excel and R Professional Certificate

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.

Taught in English

Some content may not be translated

24,071 already enrolled

Professional Certificate – 9 course series

Earn a career credential that demonstrates your expertise


3 months at 10 hours a week

Flexible schedule

Learn at your own pace

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

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Professional Certificate – 9 course series

Earn a career credential that demonstrates your expertise


3 months at 10 hours a week

Flexible schedule

Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Professional Certificate – 9 course series

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

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

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

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

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

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

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

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

52 Courses730,314 learners

Rav Ahuja

IBM

52 Courses2,323,250 learners

Saishruthi Swaminathan

IBM

2 Courses278,816 learners

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Frequently asked questions

This Professional Certificate is self-paced. Learners spending 10-12 hours a week can complete within 6 months. For others it can vary between 3 to 9 months.

No prior experience, degrees, statistical or programming knowledge is necessary. Just the passion to self-learn online, comfort & interest in working with numbers and data, and basic computer literacy.

Yes, it is highly recommended the courses be taken in the order they are presented in the certificate. 

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