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Diploma in Data Analytics in Economics

Rs.8,000 Rs.4,000

Enroll your course today to avail 50% discount offer, Diploma is valid for all type of Employment.

One of the primary purposes of economic data analysis is to provide the necessary information for informed decision-making. Businesses rely on economic data to make strategic choices, such as when to expand operations, adjust pricing strategies, or manage inventory

Description

Course Name: Diploma in Data Analytics in Economics

Course Id: DDAE/Q1001.
Education Qualification: 12th Pass.

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 foundation in Economics: Definition and scope of economics, factors of production and its classification, economies of scale, functions of money, meaning of money market, types of decision, techniques of decision making.

Data Analytics and statistical Techniques: Probability and random variables, functions of random variables, log- normal distribution, the acceptance- rejection method, constructing a test statistic, regularization functions, variance and bias of the estimators, numerical implementation.

Software and Programming Tools: Introduction, software development projects, exploratory style of software development, emergence of software engineering, computer systems engineering, rapid application development, responsibilities of a software project manager, software requirements specification (SRS), basic object- orientation concepts.

Data analytics in Economics: Introduction, qualitative data, data strategies, conceptualizing data analysis as a process, managing the data analysis process, data procedures and methods, method for quantitative analysis.

Research Methodology: Perception of research, foundation of hypothesis, research planning and sampling, design of experiments, tools of research, collection of data, analysis of data, organisation of statistical data.

Evaluation and Assessment: Introduction, objectives, need and importance of evaluation, place of evaluation in education, general techniques of evaluation, quantitative technique and qualitative technique.

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