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Rav Ahuja, Steve Ryan, Sandip Saha Joy, Kevin McFaul, Yan Luo, Saishruthi Swaminathan, Tiffany Zhu, Yiwen Li, Gabriela de Queiroz, and Jeff Grossman
This Professional Certificate is intended for anyone who is seeking to develop the job-ready skills, tools, and portfolio for an entry-level data analyst or data scientist position. Through these eight online courses, you will dive into the role of a data...
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This Professional Certificate is intended for anyone who is seeking to develop the job-ready skills, tools, and portfolio for an entry-level data analyst or data scientist position. Through these eight online courses, you will dive into the role of a data analyst or data scientist and develop the essential skills you need work with a range of data sources and apply powerful tools, including Excel, Cognos Analytics, and the R programming language, towards becoming a data driven practitioner, and gaining a competitive edge in the job market. By the end of this Professional Certificate, you will be able to explain the data analyst and data scientist roles. You will work with Excel spreadsheets and utilize them for data analysis to create charts and plots. You will utilize Cognos Analytics to create interactive dashboards. You will work with relational databases and query data using SQL statements. You will use the R programming language to complete the entire data analysis process - including data preparation, statistical analysis, data visualization, predictive modeling, and creating interactive data applications. You will also communicate your data findings and learn to prepare a report for stakeholders. This program is suitable for anyone with a passion for learning and does not require any prior data analysis, statistics, or programming experience.
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What's inside

Eight courses

Data Analysis with R

The R programming language is purpose-built for data analysis. This course starts with a question and then walks you through the process of answering it through data. You will learn important techniques for preparing your data for analysis and gain a better understanding of your data through exploratory data analysis. Once your data is ready to analyze, you will learn how to develop your model and evaluate and tune its performance.

Data Science with R - Capstone Project

In this capstone, you will apply data science skills and techniques to real-world datasets. You will collect, analyze, and model data, create visualizations, and build an interactive dashboard. The project culminates with a presentation of your data analysis report.

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.

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.

SQL for Data Science with R

(0 hours)
Much of the world's data is stored in databases. SQL (Structured Query Language) is a powerful language for communicating with and extracting data from databases. A working knowledge of databases and SQL is essential for data scientists.

Introduction to R Programming for Data Science

(0 hours)
When working in the data science field, you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks.

Data Visualization with R

In this course, you will learn the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots. You will also learn how to further customize your charts and plots using themes and other techniques.

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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