Diploma in Management (Business Analytics)

Description

Course Name: Diploma in Management (Business Analytics)

Course Id: DMBA/Q1001.

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

Objective: The Diploma in Management (Business Analytics) is an ideal program for individuals who want to combine management skills with data analysis expertise. The program equips students with the knowledge and tools to transform raw business data into actionable insights, helping organizations make data-driven decisions that improve efficiency, profitability, and competitive advantage.

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 Business Analytics: What are business analytics, why are business analytics important, what resource consideration are important to support business analytics, what are descriptive analytics, what are predictive analytics, what are prescriptive analytics.

Business Statistics: Introduction, objectives, presentation of data, importance terms, types of probability, basic relationship of probability, basic steps in analysis of variance, methods of business forecasting, business forecasting advantage.

Data Analytics Using SAS: Introduction, the data step, modifying SAS data, analysis using SAS, the multiple regression model, analysis of variance model,     the logistic regression model.

Business Law: The Indian contract act, offer and acceptance, consideration and capacity of parties, free consent, indemnity and guarantee, bailment and pledges, negotiable instruments act, dividends, bonus and interest.

Business Communication: Introduction, concept of communication, importance of communication, communication process, types of communication, the purpose of listening, electronic mail system.

Management Functions & OB: Introduction, objectives, nature of management, importance of strategic management, ethical issues, relationship between management and organizational behaviour, bargaining strategies.

Job Opportunities after completion of Diploma in Management (Business Analytics) course:

After the successful completion of the Diploma in Management (Business Analytics) program, graduates are equipped with the specialized skills and knowledge needed to analyze complex data, generate insights, and use them to make informed business decisions. The program focuses on areas like data mining, predictive analytics, data visualization, business intelligence, and decision models, making graduates highly sought after in various industries that rely on data-driven strategies.

Career Options for Graduates of the Diploma in Management (Business Analytics):

1. Business Analyst

• Role: Business Analysts identify business problems and opportunities through data analysis. They use statistical methods to interpret data, create reports, and recommend solutions to improve business processes.
• Salary Range:
  • Entry-level: ₹5,00,000 – ₹8,00,000 per annum
  • Mid-level: ₹8,00,000 – ₹12,00,000 per annum
  • Senior-level: ₹12,00,000 – ₹20,00,000+ per annum

2. Data Analyst

• Role: Data Analysts are responsible for collecting, processing, and analyzing large sets of data. They extract useful information to help businesses understand trends, patterns, and insights that can influence decision-making.
• Salary Range:
  • Entry-level: ₹4,50,000 – ₹7,00,000 per annum
  • Mid-level: ₹7,00,000 – ₹10,00,000 per annum
  • Senior-level: ₹10,00,000 – ₹15,00,000+ per annum

3. Data Scientist

• Role: Data Scientists use advanced statistical, machine learning, and programming skills to analyze and interpret large volumes of data. They build predictive models, create algorithms, and derive actionable insights that help in strategic decision-making.
• Salary Range:
  • Entry-level: ₹6,00,000 – ₹10,00,000 per annum
  • Mid-level: ₹10,00,000 – ₹15,00,000 per annum
  • Senior-level: ₹15,00,000 – ₹25,00,000+ per annum

4. Business Intelligence Analyst

• Role: Business Intelligence Analysts focus on gathering, analyzing, and interpreting business data to help organizations make strategic decisions. They use data visualization tools like Tableau, Power BI, and Excel to present insights in a digestible format.
• Salary Range:
  • Entry-level: ₹5,00,000 – ₹7,00,000 per annum
  • Mid-level: ₹7,00,000 – ₹12,00,000 per annum
  • Senior-level: ₹12,00,000 – ₹18,00,000+ per annum

5. Analytics Manager

• Role: Analytics Managers lead teams of data analysts and business analysts to execute data analysis strategies across various business functions. They oversee the development of analytics models, interpret results, and provide insights to executives.
• Salary Range:
  • Entry-level: ₹8,00,000 – ₹12,00,000 per annum
  • Mid-level: ₹12,00,000 – ₹18,00,000 per annum
  • Senior-level: ₹18,00,000 – ₹25,00,000+ per annum

6. Quantitative Analyst

• Role: Quantitative Analysts (also known as “Quants”) use mathematical models to analyze financial data, assess risks, and optimize investment strategies. They are employed primarily in the finance and insurance sectors.
• Salary Range:
  • Entry-level: ₹6,00,000 – ₹8,00,000 per annum
  • Mid-level: ₹8,00,000 – ₹15,00,000 per annum
  • Senior-level: ₹15,00,000 – ₹30,00,000+ per annum

7. Marketing Analyst

• Role: Marketing Analysts use business analytics to analyze consumer behavior, market trends, and marketing campaign performance. They help companies design targeted marketing strategies based on data insights.
• Salary Range:
  • Entry-level: ₹4,00,000 – ₹7,00,000 per annum
  • Mid-level: ₹7,00,000 – ₹10,00,000 per annum
  • Senior-level: ₹10,00,000 – ₹15,00,000+ per annum

8. Risk Analyst

• Role: Risk Analysts assess potential risks for businesses by analyzing financial, operational, and market data. They help organizations minimize and manage risks through data-driven insights and strategies.
• Salary Range:
  • Entry-level: ₹5,00,000 – ₹8,00,000 per annum
  • Mid-level: ₹8,00,000 – ₹12,00,000 per annum
  • Senior-level: ₹12,00,000 – ₹18,00,000+ per annum

9. Financial Analyst

• Role: Financial Analysts use business analytics to assess a company’s financial performance, forecast future trends, and recommend strategies for optimizing profits. They may work in investment firms, banks, or corporate finance departments.
• Salary Range:
  • Entry-level: ₹4,00,000 – ₹6,00,000 per annum
  • Mid-level: ₹6,00,000 – ₹10,00,000 per annum
  • Senior-level: ₹10,00,000 – ₹15,00,000+ per annum

10. Supply Chain Analyst

• Role: Supply Chain Analysts use data to optimize supply chain operations, manage inventories, improve logistics, and reduce costs. They work to ensure the efficient movement of goods and services within the supply chain.
• Salary Range:
  • Entry-level: ₹5,00,000 – ₹8,00,000 per annum
  • Mid-level: ₹8,00,000 – ₹12,00,000 per annum
  • Senior-level: ₹12,00,000 – ₹18,00,000+ per annum

Key Skills Developed During the Program:

• Data Analysis and Interpretation: Ability to analyze complex datasets and interpret findings to make strategic decisions.
• Statistical and Mathematical Modeling: Proficiency in statistical tools and models to derive actionable insights.
• Data Visualization: Expertise in tools like Tableau, Power BI, Excel, and others to present data in an understandable and actionable format.
• Predictive Analytics: Knowledge of forecasting models, machine learning algorithms, and other advanced techniques to predict future trends.
• Programming and Tools: Skills in Python, R, SQL, SAS, and other data analysis tools.
• Business Intelligence: Understanding of tools and techniques that turn data into business intelligence, enabling data-driven decision-making.

Salary Growth Factors:

• Experience: As graduates gain experience, they typically advance to higher positions, such as Analytics Manager or Data Scientist, leading to increased salaries.
• Industry: Professionals in high-demand sectors such as finance, healthcare, e-commerce, and technology tend to earn higher salaries.
• Location: Cities like Mumbai, Delhi, Bengaluru, and Hyderabad, with their growing technology and finance sectors, offer higher salary packages for analytics professionals.
• Company Size and Type: Graduates working with large multinational companies or top consulting firms often earn higher salaries compared to those in smaller organizations.

Conclusion:

The Diploma in Management (Business Analytics) provides graduates with the knowledge and skills required to work in a wide range of roles that rely on data-driven decision-making. The increasing demand for business analytics professionals across various industries makes this program a lucrative career path. Graduates can expect competitive salaries and substantial career growth opportunities in data science, analytics, finance, marketing, and operations management, among other fields. The salary range and opportunities continue to expand as organizations increasingly rely on data to guide their strategies and operations.