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There are 7 modules in this course
This course marks the culmination of the IBM BI Analyst Professional Certificate. It provides you an opportunity to apply data analysis techniques acquired in the previous courses to real-world datasets, allowing you to extract meaningful insights and discover patterns.
Throughout the course, you will work with various tools such as Excel for data cleaning and basic visualization, PostgreSQL and pgAdmin for data querying and complex analysis, and Tableau for data visualizations (learners may opt for other data visualization applications such as Cognos or Looker instead). At the end of the course, you will present and highlight the outcomes of the BI Analyst project, emphasizing their impact on decision-making and business performance.
Upon completion of the course, you will have a variety of artifacts showcasing your business intelligence skills to include in your portfolio.
In this module, you will be presented with the project scenario with raw datasets to work on. You will assume the role of a BI analyst and complete the tasks assigned to you. Data in raw form is rarely usable as it is. You will be cleaning and preparing the data to ensure the quality, accuracy, and reliability of the data for subsequent analysis. You will then perform some basic analysis using pivot tables to summarize data and calculate aggregates.
What's included
4 videos1 reading4 assignments4 plugins
Show info about module content
4 videos•Total 16 minutes
Course Introduction•5 minutes
Project Overview•5 minutes
Assignment Overview: Data Cleaning and Preparation•3 minutes
Assignment Overview: Basic Analysis Using Pivot Tables•3 minutes
1 reading•Total 2 minutes
Prerequisites and Syllabus•2 minutes
4 assignments•Total 58 minutes
Checklist: Data Cleaning and Preparation•18 minutes
Checklist: Basic Analysis Using Pivot Tables•16 minutes
Graded Quiz: Data Cleaning and Preparation•12 minutes
Graded Quiz: Basic Analysis Using Pivot Tables•12 minutes
4 plugins•Total 40 minutes
Helpful Tips for Course Completion•5 minutes
Business Scenario and Dataset Details•5 minutes
Hands-on Lab: Data Cleaning and Preparation•15 minutes
Hands-on Lab: Basic Analysis Using Pivot Tables•15 minutes
Data Querying and Analysis Using PostgreSQL
Module 2•3 hours to complete
Module details
After preparing the dataset for analysis and conducting a basic analysis using Microsoft Excel, it is time to move to a more sophisticated territory. In this module, you will be loading your cleaned and prepared data to the PostgreSQL server and writing SQL queries using pgAdmin to perform advanced data manipulation to filter and sort the data and calculate aggregates. You’ll also perform a multidimensional analysis using cubes and rollups to observe trends and summarize data along hierarchies.
What's included
2 videos4 assignments2 app items
Show info about module content
2 videos•Total 5 minutes
Assignment Overview: Data Querying Using PostgreSQL•3 minutes
Assignment Overview: Data Analysis Using PostgreSQL•2 minutes
4 assignments•Total 52 minutes
Checklist: Data Querying Using PostgreSQL•18 minutes
CheckList: Data Analysis Using PostgreSQL•18 minutes
Graded Quiz: Data Querying Using PostgreSQL•8 minutes
Graded Quiz: Data Analysis Using PostgreSQL•8 minutes
2 app items•Total 120 minutes
Hands-on Lab: Data Querying Using PostgreSQL•60 minutes
Hands-on Lab: Data Analysis Using PostgreSQL•60 minutes
Data Visualization and Statistical Analysis
Module 3•1 hour to complete
Module details
Data visualization refers to insights through visually compelling reports and dashboards. In this module, you’ll use Microsoft Excel to create basic charts like line and bar charts and advanced charts like sunbursts and scatterplots to visualize trends and gain insights. Further, you’ll conduct a statistical analysis of the data using regression techniques to predict outcomes.
What's included
2 videos4 assignments2 plugins
Show info about module content
2 videos•Total 5 minutes
Assignment Overview: Data Visualization Using Excel•3 minutes
Assignment Overview: Statistical Analysis Using Excel•2 minutes
4 assignments•Total 54 minutes
Checklist: Data Visualization Using Excel•16 minutes
Checklist: Statistical Analysis Using Excel•14 minutes
Graded Quiz: Data Visualization Using Excel•12 minutes
Graded Quiz: Statistical Analysis Using Excel•12 minutes
2 plugins•Total 30 minutes
Hands-on Lab: Data Visualization Using Excel•15 minutes
Hands-on Lab: Statistical Analysis Using Excel•15 minutes
Data Visualization and Dashboards with Tableau
Module 4•1 hour to complete
Module details
Tools like Tableau provide advanced visualization capabilities. They allow you to extract more information from the data by providing better sorting and filtering features. They help you create interactive dashboards that enable users to make better decisions. In this module, you’ll be performing advanced data visualization tasks. You’ll create worksheets using advanced filters and emphasizers and then assemble multiple worksheets to create interactive dashboards having features like calculated fields and interactivity allowing the filtering of data across multiple views.
Hands-on Lab: Creating Interactive Dashboards in Tableau•15 minutes
Present Your BI Analysis Findings
Module 5•5 hours to complete
Module details
In this module, you’ll be presenting your findings. You’ll be creating a PowerPoint presentation telling a compelling story of your analysis. You’ll be asked to include screenshots from tasks performed throughout the course and links to dashboards as proof of completion. Before you begin, you may go through the videos and labs providing guidance on how to present your findings and how to use PowerPoint. The presentation will be uploaded in a PDF format and will be reviewed by your peers. You’ll also be reviewing the work of some of your peers.
What's included
2 videos4 readings1 peer review2 plugins
Show info about module content
2 videos•Total 10 minutes
Structure of a Presentation•6 minutes
Best Practices for Presenting Your Findings•4 minutes
4 readings•Total 183 minutes
Assignment Overview•1 minute
Preparing Your Presentation•180 minutes
Congratulations and Next Steps•1 minute
Thanks from the Course Team•1 minute
1 peer review•Total 30 minutes
Present Your BI Analysis Findings•30 minutes
2 plugins•Total 65 minutes
[Optional] Hands-on Lab: Getting started with PowerPoint for the web•60 minutes
[Optional] Hands-on Lab: Save Your PowerPoint Presentation as a PDF•5 minutes
Final Exam
Module 6•2 hours to complete
Module details
What's included
1 reading1 assignment
Show info about module content
1 reading•Total 5 minutes
Final Exam Overview•5 minutes
1 assignment•Total 100 minutes
Final Exam•100 minutes
Ace Your Job Hunt (Bonus Module)
Module 7•2 hours to complete
Module details
In this bonus module, you will gain valuable insights and skills to excel in your job search for BI Analyst positions. You will evaluate effective job search strategies tailored to the BI analysis field. You will create a resume and develop an effective portfolio. You’ll build a professional online presence and use networking techniques to help you access hidden job opportunities. You will also learn effective interview guidelines specific to BI analyst positions and demonstrate strong communication and presentation skills during job interviews.
What's included
5 videos1 plugin
Show info about module content
5 videos•Total 21 minutes
Creating Your Resume•3 minutes
Tips for Developing Your Portfolio•5 minutes
Job search strategies for BI analysts•5 minutes
Networking and Building an Online Presence•4 minutes
Interview Preparation for BI Analysts•4 minutes
1 plugin•Total 120 minutes
Hands-on Lab: Develop Your Personal Portfolio•120 minutes
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