This
six-week Python for Finance course is designed to equip learners with
the essential programming skills needed for financial analysis, data handling,
and automation.
In Week 1,
students will be introduced to Python programming, covering fundamental
concepts such as syntax, data types, operators, and data structures like lists
and tuples. They will also learn to navigate Jupyter Notebook and manage Python
files effectively.
Week 2 delves into core Python concepts, including
conditional statements, loops, functions, and file handling. Students will gain
hands-on experience in importing and managing external libraries for data
manipulation.
From Week
3, the course shifts focus to financial applications, introducing NumPy and
Pandas for working with financial datasets. Students will explore time-series
data, stock market data retrieval, and basic statistical analysis.
Week 4 covers data visualization techniques,
helping learners understand stock price movements, technical indicators, and
portfolio trends using Python libraries.
Week 5 introduces financial computations, including
time value of money, risk and return analysis, portfolio optimization, and
asset allocation. Participants will explore key financial metrics like Sharpe
Ratio, Maximum Drawdown, and the Markowitz Efficient Frontier.
Finally, in Week
6, students will learn to automate financial tasks, build simple financial
models, and perform sentiment analysis for investment insights.
By the end
of this course, learners will be proficient in using Python for financial data
analysis, risk assessment, and decision-making, making them well-equipped for
careers in finance, fintech, and data analytics.
| Course Status : | Upcoming |
| Course Type : | Core |
| Language for course content : | English |
| Duration : | 6 weeks |
| Category : |
|
| Credit Points : | 3 |
| Level : | Postgraduate |
| Start Date : | 15 Jul 2025 |
| End Date : | 31 Oct 2025 |
| Enrollment Ends : | 31 Aug 2025 |
| Exam Date : | |
| Translation Languages : | English |
| NCrF Level : | 6.5 |
| Industry Details : | Technology (High-tech) |
Week 1: Introduction to Python, Data Types
and Data Structures
Week 2: Core Python Concepts for Data Handling
and Computation
Week 3: Working with basic Financial Data in
Python
Week 4: Data Visualization in Python
Week 5: Financial Computations and Risk
Analysis
Week 6: Automating Financial Tasks &
Introduction to Basic Financial Models
Passion for learning new things and sharing
knowledge has led Dr. Chaya Bagrecha, Professor at CMS Business School, Jain
University to a conscious decision of opting teaching as a profession. She
comes from a business family, which has helped her in hands on training in
entrepreneurial skills. She has done her MBA from Kuvempu University and
Secured First rank and two gold medals for the best outgoing student in 1993.
Having done her NET with JRF and SLET, she
has come a long way, both in terms of academics and research. She was awarded
the doctoral for her research in corporate governance. She is the recognized
research guide of Jain and Bangalore University.
She has published around fifty papers in
various journals and presented more than seventy-five papers in National and
International conferences. Her research interests are in the diverse areas of
Corporate Governance, Universal Banking, Poverty alleviation, Work Life
Balance, Indian politics, Portfolio management and entrepreneurship. She has a
keen interest in learning new Packages and analytical tools in Statistics.
Dr. Shalini R is a Faculty of Finance at CMS
B School, Jain Deemed to be University, Bangalore. She has completed her PhD
degree from Bharathiar University and MBA from Bangalore University. She has
more than 22 years of experience in Corporate and academics. Her current
research focuses on Fintech and Corporate Finance. Prof. Shalini R has
published research papers in Scopus, WoS, ABDC and peer reviewed journals
covering the areas of Capital Structure, GST, Investment alternatives, Mutual
Funds, Fintech, Metaverse, Gen AI and Behavioural finance. She has presented
research papers in conferences in various institutes like IIT (Madras), IISc,
IIM (Kozhikode), IISc Bangalore, SDMIMD, Accounting Research Institute
(Malaysia), Pondicherry University, Amity and Osmania University.
Enrolling and learning from the course is free. However, if you wish to obtain a certificate, you must register and take the proctored exam in person at one of the designated exam centre’s. The registration URL will be announced when the registration form is open. To obtain the certification, you need to fill out the online registration form and pay the exam fee. More details will be provided when the exam registration form is published, including any potential changes. For further information on the exam locations and the conditions associated with filling out the form, please refer to the form.
Grading Policy:
Assessment Type | Weightage |
Weekend Assessment | 25% |
Final Exam | 75% |
Certificate Eligibility:
Score | Type of Certificate |
>=90 | Gold |
76 - 89 | Silver |
61 - 75 | Bronze |
40 - 60 | Successfully Completed |
<39 | No Certificate |
Sample Certificate:
Disclaimer: In order to be eligible for the certificate, you must register for enrolment and exams using the same email ID. If different email IDs are used, you will not be considered eligible for the certificate.
DOWNLOAD APP
FOLLOW US