Description
Course Name: Diploma in Business Data Analytics – Microsoft Power BI (Business Intelligence)
Course Id: DBDA/Q0001.
Eligibility: 10+2 Grade (higher secondary) or Equivalent.
Objective: A Diploma in Business Data Analytics – Microsoft Power BI (Business Intelligence) 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: 370 Hrs (Equivalent to One Year).
Total Credits: 18.
How You will Get Diploma Certificate:
Step 1- Select your Course for Certification.
Step 2- Click on Enroll Now.
Step 3- Proceed to Enroll Now.
Step 4- Fill Your Billing Details and Proceed to Pay.
Step 5- You Will be Redirected to Payment Gateway, Pay Course and Exam Fee by Following Options.
Card(Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.
Step 6- After Payment You will get Study Material Login id and Password on your email id.
Step 7- After Completion of Course Study give Online Examination.
Step 8- After Online Examination you will get Diploma Certificate soft copy(Scan Copy) and Hard Copy(Original With Seal and Sign).
Step 9- After Certification you will receive Prospect Job Opportunities as per your Interest Area.
Online Examination Detail:
- Duration- 120 minutes.
- No. of Questions- 60. (Multiple Choice Questions).
- 10 Questions from each module, each carry 10 marks.
- Maximum Marks- 600, Passing Marks- 40%.
- There is no negative marking in this module.
| 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 | 41-50 | P (Pass) |
| 7 | 0-40 | F (Fail) |
Benefits of Certification:
- Government Authorized Assessment Agency Certification.
- Certificate Valid for Lifetime.
- Lifetime Verification of Certificate.
- Free Job Assistance as per your Interest Area.
Syllabus
Introduction to analytics: Introduction, conceptualizing data analysis as a process, managing the data analysis process, importance of time management, benefits of nosql database, regression analysis.
Estimation of hypothesis testing: Introduction, testing of hypothesis, types of estimation, methods of hypothesis testing, type error, procedures of hypothesis testing.
Business Communication: Introduction, Meaning of communication, Importance and purpose of communication, Functions of communication, Technology and Business Communication, importance of communication.
International Business Management: International business management, internationalization of business, types of international business, challenges for global business.
Introduction to Power BI: Introduction, features of power bi, power bi tools, installing the power bi desktop app, using power bi desktop, installing the power bi gateway, creating a data set from a multiple data sources.
Dax Functions: Introduction to the Dax, power bi data, manage relationship, power bi new filter, the Dax language, functional language, Dax data types, Dax types handling, relational functions, table functions.
Job Opportuniites after completion of Diploma in Business Data Analytics – Microsoft Power BI (Business Intelligence) course:
Graduates of a Diploma in Business Data Analytics – Microsoft Power BI 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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