Advanced Diploma in Statistics

Description

Course Name: Advanced Diploma in Statistics

Course Id: ADS/Q1001.

Eligibility: 10+2 (higher Secondary).

Objective: To deepen understanding of statistical principles and their practical use. To prepare individuals for roles in industries like data science, finance, healthcare, and research.

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 Computer Architecture and Systems Software – Logical architecture of computer, Introduction to memory and processor, Logical architecture, Program Execution, Physical architecture of computer/laptop and smartphone, Devices for display, Input and pointing. Devices for networking, I/O and external storage, System software, Assemblers, Loaders and linkers, Microprocessors, Data structures, System software tools, Overview of the editing process, User interface,

Web Technology – Introduction to HTML5, Features of HTML5, Introduction to CSS3, CSS Class and ID, Advanced Topics of CSS3, Bootstrap, Introduction to JavaScript, Variables and Functions, Introduction to JavaScript Using Objects and Functions, Using JavaScript to Build Web Applications, Basics of React, Pure React, Prof State and the Component Tree, React Router and Server.

Computer Network – Introduction to Networks, Types of Networks, Introduction to Physical Layer, Comparison of OSI and TCP/IP Protocols, Data link Layer Design Issues, Sliding window protocols, Multiple access protocols, Network layer design issues, Connection less and connection oriented protocols, Routing protocols, IP Address, Transport layer services provided, The internet transport protocols, Application layer services, Applications layer paradigms.

Discrete Mathematics and Statistics – Introduction, Mathematical logic, Set theory, The real members, Introduction and recursion, Summation notation, Asymptotic notation, Number theory, Relations, Graphs, Counting, Binomial coefficients, Generating functions, Probability theory, Linear algebra, Finite fields.

Statistical Methods – Introduction, Definition, Scope and Limitations of Statistics, Concept, Definitions, Frequency Distribution and Frequency Curves, Rules of Constructing a frequency Distribution, Classification of data, Advantages Graphical Representation, Measures of Central Tendency, Computation of Mode by The Method of Grouping, Measures of Dispersion, Probability and Laws of Probability, Random Variables and Normal Distribution.

Trend Analysis – Introduction, Minimum requirements of data to do trend analysis, Trend analysis fundamentals, Theory, Types of trends, Seasonality (cyclical variation), Analysis, Choice of Statistical model for the outcome, Algorithm for performing the trend analysis, Examples, Considerations for trend analysis across multiple geographical areas, Algorithm for carrying out a trend analysis taking country into account, Algorithm for carrying out a trend analysis on data with missing time points.

Job Opportunities after completion of Advanced Diploma in Statistics course:

Graduates of the Advanced Diploma in Statistics program are well-prepared for a variety of roles in data analysis, research, quality control, and statistical modeling across multiple sectors. With strong expertise in data collection, analysis, interpretation, and statistical software, these graduates can work in industries such as healthcare, finance, government, education, marketing, and more.

Career Options and Salary Range

1. Statistician

• Role: Apply statistical techniques to analyze data and interpret results to support decision-making processes. Statisticians are employed in various sectors, including government, healthcare, education, and research.
• Salary: ₹5–₹8 LPA; senior statisticians can earn ₹10–₹15 LPA.

2. Data Analyst

• Role: Collect, process, and analyze large datasets to identify trends, patterns, and insights that can drive business decisions. Data analysts work across industries like finance, marketing, healthcare, and tech.
• Salary: ₹6–₹10 LPA; experienced data analysts can earn ₹12–₹18 LPA.

3. Data Scientist

• Role: Use advanced statistical techniques, machine learning algorithms, and programming skills to analyze complex data and build predictive models. Data scientists work in diverse industries, particularly in tech and finance.
• Salary: ₹8–₹15 LPA; senior data scientists can earn ₹20–₹35 LPA or more, depending on the company and expertise.

4. Quantitative Analyst

• Role: Apply statistical models and mathematical methods to financial markets to identify investment opportunities, manage risks, and optimize portfolios.
• Salary: ₹10–₹20 LPA; senior quantitative analysts can earn ₹30–₹50 LPA in high-demand industries like investment banking and hedge funds.

5. Market Research Analyst

• Role: Collect and analyze data on consumer behavior, market trends, and competitor activities to help companies make informed marketing decisions. They often work in advertising, consumer goods, and consulting.
• Salary: ₹4–₹8 LPA; senior market research analysts can earn ₹10–₹15 LPA.

6. Biostatistician

• Role: Apply statistical methods to biological, medical, or health-related research. Biostatisticians often work in public health, pharmaceuticals, or research organizations to analyze clinical trials, health data, and medical surveys.
• Salary: ₹6–₹10 LPA; experienced biostatisticians can earn ₹12–₹18 LPA.

7. Actuary

• Role: Use statistical models to assess risk and uncertainty in insurance, pensions, finance, and investment. Actuaries analyze data to calculate probabilities and help organizations make financial decisions.
• Salary: ₹8–₹15 LPA; senior actuaries can earn ₹20–₹40 LPA.

8. Operations Research Analyst

• Role: Apply mathematical and statistical methods to help organizations solve complex problems related to operations, logistics, production, and supply chain management.
• Salary: ₹6–₹12 LPA; senior operations research analysts can earn ₹15–₹25 LPA.

9. Econometrician

• Role: Use statistical and econometric techniques to analyze economic data and forecast economic trends. Econometricians are employed in government departments, research institutions, and financial services.
• Salary: ₹7–₹12 LPA; senior econometricians can earn ₹15–₹25 LPA.

10. Statistical Programmer

• Role: Write code to organize, analyze, and interpret complex data. Statistical programmers are often employed in healthcare, pharmaceuticals, and research, where they use statistical software like SAS, R, or SPSS.
• Salary: ₹5–₹8 LPA; experienced statistical programmers can earn ₹10–₹15 LPA.

11. Research Scientist (Statistics)

• Role: Conduct research and experiments using statistical techniques to support advancements in fields such as healthcare, agriculture, engineering, and social sciences.
• Salary: ₹6–₹10 LPA; senior research scientists can earn ₹12–₹18 LPA.

12. Risk Analyst

• Role: Use statistical models and data analysis to identify, assess, and mitigate financial risks for companies. Risk analysts often work in banking, insurance, and investment firms.
• Salary: ₹7–₹12 LPA; senior risk analysts can earn ₹15–₹25 LPA.

13. Clinical Data Manager

• Role: Manage and analyze clinical trial data in the pharmaceutical or healthcare sector. They ensure the integrity and accuracy of clinical data used in medical research and drug development.
• Salary: ₹6–₹10 LPA; senior data managers can earn ₹12–₹18 LPA.

14. Business Intelligence Analyst

• Role: Gather, analyze, and interpret business data to provide actionable insights for organizational growth. Business intelligence analysts help in decision-making processes within companies.
• Salary: ₹6–₹10 LPA; senior analysts can earn ₹12–₹18 LPA.

15. Education and Training Roles (Statistical Education)

• Role: Teach statistics at the high school, undergraduate, or postgraduate level, or provide corporate training in statistical methods and tools.
• Salary: ₹4–₹8 LPA for teachers; corporate trainers can earn ₹8–₹15 LPA depending on the training organization.

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Salary Growth Overview

• Entry-level: ₹4–₹8 LPA (roles like Market Research Analyst, Biostatistician, or Data Analyst)
• Mid-level: ₹6–₹12 LPA (roles like Data Scientist, Risk Analyst, or Operations Research Analyst)
• Senior-level: ₹12–₹50 LPA (roles like Quantitative Analyst, Senior Data Scientist, or Actuary)

Salaries can vary based on industry, experience, and location. For example, professionals in major cities like Bengaluru, Mumbai, Delhi, or Hyderabad typically receive higher salaries due to the concentration of tech, finance, and healthcare industries. Graduates with specialized skills in software tools like R, SAS, Python, or machine learning can command higher salaries. Those working in high-demand sectors like finance, investment, and technology are likely to earn more compared to those in academia or research roles.