Certificate Program in Data Science for Finance (CPDSF)
- Offered byIndian Institute of Quantitative Finance
Certificate Program in Data Science for Finance (CPDSF) at Indian Institute of Quantitative Finance Overview
Duration | 3 months |
Start from | 25th Jan'25 |
Total fee | ₹68,000 |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Certificate Program in Data Science for Finance (CPDSF) at Indian Institute of Quantitative Finance Highlights
- Earn a degree after completion of course from Indian Institute of Quantitative Finance
Certificate Program in Data Science for Finance (CPDSF) at Indian Institute of Quantitative Finance Course details
Individuals in investment banking, asset management, or financial services looking to enhance their analytical capabilities with data science techniques
Professionals focused on data analysis who want to apply data science skills specifically within the financial sector
Overview of data science concepts and methodologies
Understanding the importance of data in finance and investment decision-making
Techniques for sourcing and cleaning financial data from various platforms
Data preprocessing and feature engineering for optimal analysis
Introduction to machine learning algorithms and their applications in finance
The Certificate Program in Data Science for Finance (CPDSF) is designed to equip participants with the essential skills and knowledge to leverage data science techniques in the financial sector
This program combines theoretical foundations with practical applications, enabling students to analyze financial data, derive insights, and make informed decisions in a rapidly evolving industry
Program Schedule
Saturdays and Sundays
Program Timing
4:00 PM to 8:00 PM IST (UTC +5:30)
Certificate Program in Data Science for Finance (CPDSF) at Indian Institute of Quantitative Finance Curriculum
Applied Programming in Python
Python Toolsets & Libraries
Pandas, Numpy, Scipy,
Matplotlib, Seaborn, Bokeh, Plotly
Business Intelligence Tools & Software
Tableau, Power BI, Qlik
Applied Statistics & Probability
Multivariate Statistics
Distribution Families – Discrete & Continuous
Sampling Estimation & Central Limit Theorems
Big Data Mining & Manipulation
7 V’s of Big Data - Volume, Velocity, Variability, Variety, Veracity, Value, Visualization
Structured & Unstructured Datasets – Data Massaging & Manipulations
High Dimensional Data Handling
Exploratory Data Analytics (EDA)
Data Extraction, Exploration & Error Handling
Data Cleansing, Transformation & Aggregation
Data De-noising, Distribution Fitting & Descriptive Statistics
Capstone Project
BFSI industry application project supervised by a BFSI SME expert industry mentor