Description
Course Name: Professional Certificate in Power BI and Business Insights
Course Id: PCPBBI/Q0001.
Eligibility: 10+2 Grade (higher secondary) or Equivalent.
Objective: A Professional Certificate in Power BI and Business Insights is a specialized course designed to provide individuals with the skills and knowledge required to analyze and visualize data using Microsoft Power BI, one of the most popular business intelligence (BI) tools. The course focuses on leveraging data to generate insights that inform business decision-making processes, enhance efficiency, and support strategic planning.
Duration: Three Month.
How to Enroll and Get Certified in Your Chosen Course:
Step 1: Choose the course you wish to get certified in.
Step 2: Click on the “Enroll Now” button.
Step 3: Proceed with the enrollment process.
Step 4: Enter your billing details and continue to course fee payment.
Step 5: You will be redirected to the payment gateway. Pay the course and exam fee using one of the following methods:
Debit/Credit Card, Wallet, Paytm, Net Banking, UPI, or Google Pay.
Step 6: After successful payment, you will receive your study material login ID and password via email within 48 hours of fee payment.
Step 7: Once you complete the course, take the online examination.
Step 8: Upon passing the examination, you will receive:
• A soft copy (scanned) of your certificate via email within 7 days of examination.
• A hard copy (original with official seal and signature) sent to your address within 45 day of declaration of result.
Step 9: After certification, you will be offered job opportunities aligned with your area of interest.
Online Examination Detail:
Duration- 60 minutes.
No. of Questions- 30. (Multiple Choice Questions).
Maximum Marks- 100, Passing Marks- 40%.
There is no negative marking in this module.
| Marking System: | ||||||
| S.No. | No. of Questions | Marks Each Question | Total Marks | |||
| 1 | 10 | 5 | 50 | |||
| 2 | 5 | 4 | 20 | |||
| 3 | 5 | 3 | 15 | |||
| 4 | 5 | 2 | 10 | |||
| 5 | 5 | 1 | 5 | |||
| 30 | 100 | |||||
| How Students will be Graded: | ||||||
| S.No. | Marks | Grade | ||||
| 1 | 91-100 | O (Outstanding) | ||||
| 2 | 81-90 | A+ (Excellent) | ||||
| 3 | 71-80 | A (Very Good) | ||||
| 4 | 61-70 | B (Good) | ||||
| 5 | 51-60 | C (Average) | ||||
| 6 | 40-50 | P (Pass) | ||||
| 7 | 0-40 | F (Fail) | ||||
Key Benefits of Certification- Earning a professional certification not only validates your skills but also enhances your employability. Here are the major benefits you gain:
Practical, Job-Ready Skills – Our certifications are designed to equip you with real-world, hands-on skills that match current industry demands — helping you become employment-ready from day one.
Lifetime Validity – Your certification is valid for a lifetime — no renewals or expirations. It serves as a permanent proof of your skills and training.
Lifetime Certificate Verification – Employers and institutions can verify your certification anytime through a secure and reliable verification system — adding credibility to your qualifications.
Industry-Aligned Certification –All certifications are developed in consultation with industry experts to ensure that what you learn is current, relevant, and aligned with market needs.
Preferred by Employers – Candidates from ISO-certified institutes are often prioritized by recruiters due to their exposure to standardized, high-quality training.
Free Job Assistance Based on Your Career Interests – Receive personalized job assistance and career guidance in your preferred domain, helping you land the right role faster.
Syllabus
Introduction to Power BI and Data Analytics: Overview of Power BI and its ecosystem, Importance of business intelligence and data analytics, Installing and setting up Power BI Desktop, Understanding Power BI interface and components, Connecting to different data sources, Data import methods and refresh options, Overview of Power BI Service and Power BI Mobile, Understanding Power BI architecture, Introduction to workspaces and dashboards, Real-world applications of Power BI.
Data Transformation using Power Query: Understanding Power Query Editor, Data cleaning and shaping techniques, Removing duplicates and errors, Filtering and sorting data, Splitting and merging columns, Creating custom columns using M code, Handling null values and formatting data, Working with date and time fields, Appending and merging queries, Grouping and summarizing data.
Data Modeling and Relationships: Understanding data modeling concepts, Creating relationships between tables, Star schema and snowflake schema design, Understanding cardinality and cross-filter direction, Creating calculated columns and measures, Introduction to DAX (Data Analysis Expressions), Common DAX functions and syntax, Time intelligence functions in DAX, Creating hierarchies and role-playing dimensions, Optimizing data models for performance.
Data Visualization and Report Building: Creating interactive reports and dashboards, Using visuals like bar, line, pie, and scatter charts, Customizing visuals with formatting options, Using slicers, filters and drill-down features, Creating tables and matrix visuals, Using cards, gauges and KPIs, Applying themes and bookmarks, Creating dynamic titles and tooltips, Best practices in data visualization, Exporting and publishing reports.
Advanced Analytics and DAX Functions: Advanced DAX calculations and measures, Calculated tables and virtual tables, Working with CALCULATE and FILTER functions, Using variables in DAX expressions, Forecasting and trend analysis, Scenario analysis using what-if parameters, Anomaly detection and clustering, Understanding quick insights in Power BI, R and Python integration in Power BI, Performance optimization using DAX Studio.
Power BI Service Sharing and Industry Applications: Publishing reports to Power BI Service, Creating dashboards from reports, Setting up scheduled data refresh, Row-Level Security (RLS) and access control, Sharing and collaborating in workspaces, Creating and managing apps, Power BI with Microsoft Teams and SharePoint, Embedding Power BI reports into websites or apps, Real-world business use cases across industries, Power BI certification and career pathways.
Job Opportuniites after completion of Professional Certificate in Power BI and Business Insights course:
Graduates of a Professional Certificate in Power BI and Business Insights program are equipped to enter the rapidly growing field of data analytics and business intelligence. Proficiency in Power BI, combined with analytical skills, makes them valuable assets for organizations aiming to leverage data for decision-making. Here’s a detailed look at career options and salary ranges in India:
1. Business Intelligence (BI) Analyst
- Role: Develop, maintain, and report on dashboards using Power BI to support data-driven decisions.
- Industries: IT, retail, healthcare, banking, and FMCG.
- Salary Range: ₹4 to ₹8 LPA (entry-level); ₹8 to ₹15 LPA (mid-level).
2. Data Analyst
- Role: Analyze datasets to uncover trends, insights, and actionable recommendations.
- Industries: E-commerce, finance, marketing, and manufacturing.
- Salary Range: ₹3.5 to ₹7 LPA (entry-level); ₹7 to ₹12 LPA (mid-level).
3. Power BI Developer
- Role: Design, develop, and maintain Power BI reports and dashboards, ensuring seamless data integration.
- Industries: IT services, consulting firms, and large corporations.
- Salary Range: ₹4.5 to ₹8 LPA (entry-level); ₹8 to ₹14 LPA (mid-level).
4. Data Visualization Specialist
- Role: Create compelling data visualizations using Power BI to communicate complex data insights effectively.
- Industries: Media, consulting, and advertising.
- Salary Range: ₹4 to ₹8 LPA.
5. BI Consultant
- Role: Provide expert advice on implementing Power BI solutions and optimizing data workflows for businesses.
- Industries: Consulting firms, IT services, and freelancing.
- Salary Range: ₹6 to ₹12 LPA (can exceed ₹15 LPA for experienced consultants).
6. Data Engineer
- Role: Build and manage data pipelines, ensuring clean, structured data for Power BI reporting.
- Industries: IT, telecom, and financial services.
- Salary Range: ₹5 to ₹10 LPA (entry-level); ₹10 to ₹18 LPA (mid-level).
7. Financial Analyst (Power BI Specialist)
- Role: Use Power BI to create financial reports, forecast trends, and analyze business performance.
- Industries: Banking, investment firms, and insurance.
- Salary Range: ₹4.5 to ₹9 LPA.
8. Market Research Analyst
- Role: Leverage Power BI to analyze market trends, customer preferences, and competitor strategies.
- Industries: Retail, FMCG, and e-commerce.
- Salary Range: ₹3.5 to ₹7 LPA.
9. Freelance Power BI Specialist
- Role: Work independently on Power BI projects, offering data visualization and dashboard development services.
- Industries: Multiple sectors; flexible work setups.
- Earnings: ₹4 to ₹10 LPA (based on project volume and complexity).
10. Data Scientist (Entry-Level)
- Role: Combine Power BI skills with statistical and machine learning techniques to solve business problems.
- Industries: IT, healthcare, and fintech.
- Salary Range: ₹6 to ₹12 LPA.
11. Operations Analyst
- Role: Use Power BI to monitor and improve operational processes within organizations.
- Industries: Logistics, manufacturing, and supply chain.
- Salary Range: ₹4 to ₹8 LPA.
12. Product Analyst
- Role: Analyze product performance and user behavior using Power BI dashboards.
- Industries: Tech startups, SaaS companies, and app development firms.
- Salary Range: ₹5 to ₹9 LPA.
Factors Influencing Salaries:
- Experience: Salaries rise significantly with experience and exposure to real-world projects.
- Location: Metro cities like Bengaluru, Hyderabad, and Pune offer higher pay scales.
- Certifications: Additional certifications in data analytics, SQL, or machine learning can further boost prospects.
- Industry: IT and consulting firms often pay more than other sectors.
Growth Prospects:
- Demand Surge: The demand for Power BI professionals is growing as organizations emphasize data-driven strategies.
- Upskilling Opportunities: Learning complementary tools like SQL, Python, and Tableau or delving into advanced analytics and machine learning can open doors to senior roles.
- Global Opportunities: Power BI skills are highly marketable internationally, offering remote work and global career prospects.
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