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This accelerated IBM: IBM Data Analytics with Excel and R Professional Certification, will prepare you for a career in data analytics. The topics covered within this certification enable you to:
This course will teach you the foundational data skills employers are seeking for entry level data analytics roles and will provide a portfolio of projects and a Professional Certificate from IBM to showcase your expertise to potential employers.
You’ll learn the latest skills and tools used by professional data analysts and upon successful completion of this program, you will be able to work with Excel spreadsheets, Jupyter Notebooks, and R Studio to analyze data and create visualizations. You will also use the R programming language to complete the entire data analysis process, including data preparation, statistical analysis, data visualization, predictive modeling and creating interactive dashboards. Lastly, you’ll learn how to communicate your data findings and prepare a summary report.
In just 7 days, you’ll also learn how to:
At the end of this course, you’ll sit the IBM exam, and achieve your IBM Data Analytics with Excel and R Professional Certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.
This course is ideal for:
Entry level roles in Data Analytics or Data Science.
Module 1: Introduction to Data Analytics
Module 2: Excel Basics for Data Analysis
Module 3: Data Visualization and Dashboards with Excel and Cognos
Module 4: Assessment for Data Analysis and Visualization Foundations
Module 5: Introduction to R Programming for Data Science
Module 6: SQL for Data Science with R
Module 7: Data Analysis with R
Module 8: Data Visualization with R
Module 9: Data Science with R - Capstone Project
At the end of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered Certification Guarantee:
You will complete hands-on labs to build your portfolio and gain practical experience with Excel, Cognos Analytics, SQL, and the R programing language and related libraries for data science, including Tidyverse, Tidymodels, R Shiny, ggplot2, Leaflet, and rvest.
Projects include:
Your accelerated course includes:
Before attending this accelerated course, you should have:
No prior experience required, but statistical or programming knowledge is necessary.
Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.
Here's the Firebrand Training review section. Since 2001 we've trained exactly 134561 students and asked them all to review our Accelerated Learning. Currently, 95.63% have said Firebrand exceeded their expectations.
Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.
"The CISA course was good for knowledge growth regardless of experience and key to taking the exam. I would definitely recommend."
G. K. . (15.4.2024 (Monday) to 18.4.2024 (Thursday))
"Course material is very comprehensive. Instructor was very friendly and gave multiple views on the topics being discussed and included a good amount of examples."
D. E. . (30.10.2023 (Monday) to 1.11.2023 (Wednesday))
"Course material is very comprehensive. Instructor was very friendly and gave multiple views on the topics being discussed and included a good amount of examples."
D. E. . (30.10.2023 (Monday) to 1.11.2023 (Wednesday))
"Great trainer who has plenty of experience that he shared with us! Valuable insights and practical examples were provided that will help me with my daily tasks! Thank you!"
K. S. . (30.10.2023 (Monday) to 1.11.2023 (Wednesday))
"Great trainer who has plenty of experience that he shared with us! Valuable insights and practical examples were provided that will help me with my daily tasks! Thank you!"
K. S. . (30.10.2023 (Monday) to 1.11.2023 (Wednesday))
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27.5.2024 (Monday) |
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30.9.2024 (Monday) |
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