courses-details

Introduction

This course combines data analysis and finance as nearly every industry is generating a vast amount of data and nearly every business leader today understands the importance of making sense out of that data to drive business strategy. Companies need more from Finance than just accurate financial statement analysis. They need predictive insights which can improve their real-time day to day decision making. Finance analytics enables to combine internal financial information with external information by using social media and big data to provide predictive insights. Whether it is with respect to stock market prediction or customer profitability, finance analytics enables to provide a direction in predicting all. This course blends easy-to-use statistical tools with complex machine learning tools and algorithms to equip the participants with the requisite skill sets in analyzing data. By the end of this course, the participants should be able to perform the required financial analysis using powerful tools like R and Python.

In-take: The minimum intake will be 10 and the maximum number will be 30 students per course.

No of Papers: 4

Credit: 16 (Each Paper have 4 credit)

Duration: One year Eligibility: Minimum graduation in any discipline (Students pursuing any part time or full time programme after their graduation/employed persons who are graduates). One participant can undergo only one programme at a time.

Fees: Rs. 20,000/- to be paid at the time of admission. Examination fees - Rs. 575/- would be paid to the University separately for each university exam

Timings: Two hours per day, three-four days a week (7:00 pm to 9:00 pm)

Reservation: As per Gujarat University rules

Examination Pattern: Internal Examination: 20% (Two hours) Continuous evaluation: 30% (Quizzes, Presentation, Attendance Assignments and Project)

Course Name
Financial Analytics

  • Course Type PG Diploma
  • Intake Min-10 & Max-30
  • Eligibility Criteria Any Graduate
  • Admission Process Online
  • Course Duration 1 year
  • Course Commencement August

course fee 20,000/-