Data Analytics Using Tableau and Power BI Certification Program
in Certification ProgramAbout this course
Data Analytics Using Tableau and Power BI Certification Program
Duration: 2 Months
Mode: Online
Level: Beginner to Intermediate
Prerequisites: Basic understanding of computers and the internet
Tools Required:
· Tableau Desktop
· Power BI Desktop
· Microsoft Excel
· Data Sources (CSV, Excel, SQL databases)
· NOTE: We do help in installation and configuration
Program Overview
The Data Analytics Using Tableau and Power BI Internship Program is designed to equip participants with the skills needed to analyze, visualize, and interpret data using two of the most popular business intelligence tools—Tableau and Power BI. Over the course of one month, interns will learn how to connect to various data sources, create interactive dashboards, and generate actionable insights from data. By the end of the program, students will have developed a comprehensive analytics project, demonstrating their ability to turn raw data into meaningful business intelligence.
Key Features
· Hands-on Experience: Work with real-world datasets and gain practical experience in data analytics.
· Live Sessions: Engage with instructors in live sessions, ask questions, and receive immediate feedback.
· Mentorship: Get personalized guidance from experienced data analysts and business intelligence professionals.
· Project-Based Learning: Develop and present a complete data analytics project as part of your final assessment.
· Certificate of Completion: Earn a certificate that validates your skills in data analytics, Tableau, and Power BI.
Learning Outcomes
· Have a strong understanding of data analytics and the role of business intelligence tools.
· Be proficient in using Power BI and Tableau for data visualization and dashboard creation.
· Be able to connect to various data sources, clean and transform data, and generate insights.
· Develop and present interactive dashboards that effectively communicate data insights.
· Showcase their skills through a completed data analytics project.
Course Schedule and Details
We are excited to offer flexible timing options for our Data Analytics Using Tableau and Power BI Certification Program to suit your convenience. Choose the batch that works best for you:
Batch Type | Timing |
Morning Batch (Weekdays) | Monday to Thursday, 7:30 AM - 8:30 AM |
Evening Batch (Weekdays) | Monday to Thursday, 7:30 PM - 8:30 PM |
Saturday Batch | 10:00 AM - 12:00 PM |
Sunday Batch | 10:00 AM - 12:00 PM |
Additional Benefits
· Access to recorded classes for review or if you miss a session.
· Comprehensive learning material and support.
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This section introduces participants to the world of data analytics, emphasizing its critical role in making informed decisions. It covers
the entire data analytics process, from data collection and cleaning to analysis and visualization, setting the foundation for further
learning. Participants will understand how data-driven insights can drive strategic decisions across various industries.
Participants will familiarize themselves with the Power BI interface and core features. They will learn how to connect to various data
sources, perform basic data cleaning and transformations using Power Query, and create simple visualizations and reports
This section builds on the basics of Power BI, introducing more complex visualizations, interactive dashboards, and DAX for calculated fields. It also covers how to publish and share reports.
This section introduces participants to Tableau, covering the interface, connecting to various data sources, basic data preparation, and creating visualizations
This section delves deeper into Tableau, teaching advanced techniques such as using calculated fields, creating interactive dashboards, and building storyboards to present data insights.
This section covers best practices for designing effective and user-friendly dashboards, focusing on layout, color schemes, and
interactivity. It also compares Power BI and Tableau dashboards.
In the final week, participants apply what they’ve learned by working on a comprehensive data analytics project. This hands-on project
involves data cleaning, analysis, visualization, and generating insights, culminating in a presentation
The course concludes with guidance on building a data analytics portfolio, tips for job interviews, and career growth in the eld of data
analytics.
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