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Diploma in Business Analytics

Rs.6,000 Rs.3,000

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A Diploma in Business Analytics is a specialized program designed to equip individuals with the knowledge and skills needed to analyze data and use it to make informed business decisions. This diploma combines elements of data science, statistics, business strategy, and technology to train students in using data analytics tools and techniques to solve business problems.

Description

Course Name: Diploma in Business Analytics

Course Id: DBA/Q0001.

Eligibility: Completion of 10+2 (higher Secondary) or equivalent.

Objective: A Diploma in Business Analytics is an excellent choice for anyone looking to enter the field of data analysis and apply data-driven decision-making to business challenges. The program provides a comprehensive understanding of key analytics concepts, tools, and techniques, equipping students with the skills needed to thrive in today’s data-centric business world. Whether working in marketing, finance, operations, or consulting, graduates will be well-prepared to analyze data, generate insights, and contribute to business success.

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

Foundations of Data Science: Introduction, the law of large numbers, application of singular value decomposition, electrical networks and random walks, generalizing to new data, frequency moments of data streams, spectral clustering applied to social networks, phase transitions for increasing properties.

Human Resource Technology and Analytics: Human resources management and technology, evolution of human resources technology, human resources information systems, selecting and implementing an HRIS, electronic human resources.

Statistics for Business Analytics: Basic statistical concepts, data measurement, introduction to business analytics, exploring the database with business analytics.

Quantitative Methods: Introduction, graphical representation, management problems in data analysis, usefulness of the measures, random sampling methods, probability concepts, application of statistical inference, extensions of analysis of variance.

Data Visualization and Communication: Computational statistics and data visualization, statistical historiography, scientific design choices in data visualization, data and graphs, graph layout techniques, geometric graphs, examples of existing glyphs, visualization techniques for linked views.

Marketing Analytics and Retail Analytics: Playing the retail game, retailing in India, retail marketing mix, changes in the landscape of retail marketing, retail store formats, store layout, catman strategies.

Job Opportunities after completion of Diploma in Business Analytics course:

After completing a Diploma in Business Analytics, graduates gain the skills needed to analyze and interpret complex data, helping businesses make informed decisions. Business analytics involves using statistical techniques, data visualization, and machine learning to solve business problems and optimize processes.

Career Options and Salary Range for Business Analytics Graduates in India

  1. Business Analyst
    • Role: Business analysts use data to evaluate business processes, identify trends, and provide solutions to improve business performance. They work closely with management to define business requirements and help implement changes.
    • Salary Range: ₹4,00,000–₹8,00,000 per annum (Entry-level); ₹10,00,000–₹15,00,000 per annum (Experienced).
  2. Data Analyst
    • Role: Data analysts gather, process, and analyze data to identify patterns and trends. They help businesses make data-driven decisions by creating reports and visualizations.
    • Salary Range: ₹3,00,000–₹7,00,000 per annum (Entry-level); ₹8,00,000–₹12,00,000 per annum (Experienced).
  3. Data Scientist
    • Role: Data scientists go beyond traditional analysis to design and implement complex models using machine learning and statistical techniques. They interpret large datasets to solve specific business problems.
    • Salary Range: ₹6,00,000–₹12,00,000 per annum (Entry-level); ₹15,00,000–₹30,00,000 per annum (Experienced).
  4. Analytics Consultant
    • Role: Analytics consultants work with businesses to provide advice on data management, analytics strategy, and technology solutions. They assist in making informed decisions based on insights derived from data.
    • Salary Range: ₹6,00,000–₹10,00,000 per annum (Entry-level); ₹12,00,000–₹20,00,000 per annum (Experienced).
  5. Market Research Analyst
    • Role: Market research analysts collect and analyze data on consumer behavior, market trends, and competition. They provide businesses with valuable insights to guide marketing strategies and product development.
    • Salary Range: ₹4,00,000–₹6,00,000 per annum (Entry-level); ₹8,00,000–₹12,00,000 per annum (Experienced).
  6. Operations Analyst
    • Role: Operations analysts use data to identify inefficiencies in business operations and recommend improvements. They analyze performance metrics and help optimize the operational aspects of a business.
    • Salary Range: ₹4,50,000–₹8,00,000 per annum (Entry-level); ₹9,00,000–₹12,00,000 per annum (Experienced).
  7. Financial Analyst
    • Role: Financial analysts use data analytics to assess business performance, prepare financial reports, and predict future trends. They help companies with budgeting, forecasting, and investment planning.
    • Salary Range: ₹4,50,000–₹8,00,000 per annum (Entry-level); ₹9,00,000–₹15,00,000 per annum (Experienced).
  8. Supply Chain Analyst
    • Role: Supply chain analysts use business analytics to optimize logistics and supply chain processes. They analyze data to improve inventory management, demand forecasting, and distribution strategies.
    • Salary Range: ₹4,00,000–₹7,00,000 per annum (Entry-level); ₹8,00,000–₹12,00,000 per annum (Experienced).
  9. Product Analyst
    • Role: Product analysts focus on analyzing product performance, customer behavior, and market trends to inform product development and improvements.
    • Salary Range: ₹4,00,000–₹8,00,000 per annum (Entry-level); ₹9,00,000–₹15,00,000 per annum (Experienced).
  10. Data Engineer
    • Role: Data engineers design, build, and maintain the systems and infrastructure required to process and store large datasets. They work closely with data scientists and analysts to ensure data quality and availability.
    • Salary Range: ₹5,00,000–₹10,00,000 per annum (Entry-level); ₹12,00,000–₹18,00,000 per annum (Experienced).
  11. Business Intelligence (BI) Analyst
    • Role: BI analysts use data analytics tools to analyze business data and provide actionable insights that support decision-making. They help organizations understand their business operations and performance through visualizations and reports.
    • Salary Range: ₹5,00,000–₹8,00,000 per annum (Entry-level); ₹10,00,000–₹14,00,000 per annum (Experienced).
  12. Machine Learning Engineer
    • Role: Machine learning engineers develop algorithms and models that allow machines to learn from data. This role is ideal for those who want to combine data analytics with programming and artificial intelligence.
    • Salary Range: ₹6,00,000–₹10,00,000 per annum (Entry-level); ₹12,00,000–₹20,00,000 per annum (Experienced).
  13. Customer Insights Analyst
    • Role: Customer insights analysts focus on understanding customer behavior and preferences through data analysis. They provide businesses with insights to improve customer experience, product offerings, and marketing strategies.
    • Salary Range: ₹4,00,000–₹7,00,000 per annum (Entry-level); ₹8,00,000–₹12,00,000 per annum (Experienced).
  14. Risk Analyst
    • Role: Risk analysts use data analytics to identify and assess potential risks to the business, including financial, operational, and market risks. They recommend strategies to mitigate these risks.
    • Salary Range: ₹4,50,000–₹8,00,000 per annum (Entry-level); ₹9,00,000–₹15,00,000 per annum (Experienced).

Skills Acquired During the Diploma Program

  • Statistical Analysis: Use of statistical techniques to interpret data and identify trends.
  • Data Visualization: Creating clear, visual representations of data using tools like Tableau, Power BI, etc.
  • Machine Learning: Introduction to basic machine learning concepts and their application in business analytics.
  • Excel and SQL: Proficiency in advanced Excel functions and SQL for data manipulation and querying.
  • Business Problem Solving: Ability to apply analytical methods to solve real-world business problems.
  • Data Warehousing: Understanding of data storage and retrieval techniques.
  • Communication Skills: Ability to present analytical findings to non-technical stakeholders.

Industries for Employment

  • Information Technology (IT): Tech companies hire business analysts and data scientists to optimize processes and support decision-making.
  • Finance and Banking: Financial institutions need analysts to forecast trends and optimize investment strategies.
  • Retail and E-commerce: Retailers use analytics to improve customer experience, product offerings, and marketing strategies.
  • Healthcare: Hospitals and healthcare firms use data analytics for patient care improvement and operational efficiency.
  • Consulting Firms: Consulting agencies offer business analytics services to help organizations optimize their operations.
  • Government and Public Sector: Analytics is used for policy-making, forecasting, and improving public services.

Conclusion

Graduates of the Diploma in Business Analytics program can expect a wide range of career opportunities across various sectors. Starting salaries typically range from ₹4,00,000 to ₹8,00,000 per annum, with more experienced professionals earning up to ₹15,00,000 or more, especially in high-demand roles like data scientists or analytics consultants. This field offers excellent growth potential, especially as businesses continue to embrace data-driven decision-making.

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