Financial Analytics Course with Python- Henry Harvin®

Financial Analytics with Python (CPFA) Course

Henry Harvin® Analyze Financial Data with No.1 Python Programming Course by India Today

  • ★ ★ ★ ★ ★ 4.8/5 Ratings
  • 1.1 Million Learners
  • 3394 Learner’s Rating
  • 81% Report Career Benefits

Certified Python Financial Analyst' CPFA course is a focused 32-hours instructor-led training and certification program that equips participants to explore+analyze+solve financial sector problems using popular analytics tools such as Python & Advanced Excel.

Starts In 3 day

20 Jul 2024

Learning Period

32 Hours

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Placed Learners

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Accreditations & Affiliations

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There's a reason that 95% of our alumni undertake 3+ courses as a minimum with Henry Harvin®

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Nikita Lobo
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Rishav Saha
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Vandana Duggal
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Devika Jain
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Rumman Sheikh
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Ishika Tripathi
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Umang Singh
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Tinni Ghosh
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Sona Goenka
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Pulak Maity
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Dev Joshi
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Prateek Nag
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Rita Kar
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Hema Nathan
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Sushma Seth
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Juvan Saha
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Leela Lusaka
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Rupam Jana
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Sainik Sarkar
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Shashi Sen
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Know the complete offerings of our Financial Analytics with Python (CPFA) Course

Key Highlights

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32 Hours of Instructor-Led Sessions
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11 Hours of Live Interactive Doubt Solving Sessions
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6 Hours of Live Master Sessions by Industry Experts
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192 Hours of Self-Paced Learning
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192 Hours Hands on with Cloud Labs
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Job-Ready Portfolio of 3 Capstone Projects
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74 Auto-Graded Assessments
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6+ Industry Case Studies
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48 Guided Hands-On Exercises
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3+ Assignments and Mini Projects
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1 Mock Interview and 1 Hackathon
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Get 1-Year Gold Membership of Henry Harvin® Data Science & Analytics Academy
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Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage
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Get 3 in 1 Placement support through Placement Drives, Premium access to Job portal & Personalized Job Consulting
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2 Hours of Mentorship by Industry Experts
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Earn Certification of Course from Henry Harvin®, Govt of India recognized & Award-Winning Institute and NSDC Certification

Upcoming Cohorts

Our Placement Stats

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Average salary hike

2100+

Access the best jobs in industry

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Maximum salary hike

Access the best jobs in the industry

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You Get 10-In-1 Program

Two-way Live Training Course

Two-way Live Online Interactive Classroom Sessions

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Certification

Distinguish your profile with global credentials and showcase expertise with our Hallmark Completion certificate

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Projects

Facility to undergo various projects along with the course.

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Guaranteed Internship

Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage.

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Placement

Get 3 in 1 Placement support through Placement Drives, Premium access to Job portal & Personalized Job Consulting

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Student Engagement & Events

Free Access to #AskHenry Hackathons and Competitions & many other facilities from Henry Harvin®

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Masterclass

Access to 52+ Masterclass Sessions for essential soft skill development

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Membership

Get Free Gold Membership of Henry Harvin®

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E-Learning Access

Free access to the E-learning Portal and future updates. Get access to PPTs, Projects, Quizzes, self-paced Video-based learning, a question bank, a library, practice tests, final assessment, a forum, and doubt sessions.

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Entrepreneurship Mentorship

Mentorship from Young Successful Entrepreneurs to set up a sustainable & scalable Business from scratch at both Freelance and entrepreneur levels

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About the Financial Analytics with Python (CPFA) Course

Financial Analytics

Financial Analytics Course with Python enables professionals to understand analytics-based business decision making to drive the company's ROI.

AGOTA™ Framework

It is a versatile 10-in-1 program that includes various aspects of competency development and career development.

  • Training: 32 Hours of Two-Way Live Online Interactive Sessions
  • Projects: Facility to undergo projects in Python Programming, Business Analytics, Predictive Models & more
  • Masterclass: Access to 52+ Masterclass Sessions for essential soft skill development
  • Student Engagement & Events: Free Access to #AskHenry Hackathons and Competitions & many other facilities from Henry Harvin®
  • Membership: Get 1 year Gold Membership of Henry Harvin® School of Data Science & Analytics for Financial Analytics with Python (CPFA) Course 
  • E-Learning  Free access to E-learning Portal and future updates. Get access to PPTs, Projects, Quizzes, self-paced Video based learning, a question bank, a library, practice tests, final assessment, a forum, and doubt sessions.
  • Certification: Get course completion certificate in Financial Analytics with Python Course from Henry Harvin® Govt of India recognized & Award-Winning Institute and from NSDC 
  • Internship Support: Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage.
  • Entrepreneurship Mentorship: Mentorship from Young Successful Entrepreneurs to set up a sustainable & scalable Business from scratch at both Freelance and entrepreneur levels
  • Placement Support: Get 3 in 1 Placement support through Placement Drives, Premium access to Job portal & Personalized Job Consulting

Trainers at Henry Harvin®

  • Most respected industry experts with 14+ years of working experience and recognized by numerous organizations over the years for their work
  • Have been invited for 300+ keynote classes for Financial Analytics with Python Course
  • Have delivered 450+ lectures and are currently empaneled as domain experts with Henry Harvin® Data Science & Analytics Academy

Alumni Status

Become a part of the Elite School of Data Science & Analytics of Henry Harvin® & join the 4,60,000+ strong Alumni Network Worldwide

Gold Membership Program

Get 1-Year Membership of Henry Harvin® School of Data Science & Analytics  and avail the following benefits:

  • E-Learning Access: Includes Recorded Videos, PPT, Case Studies
  • Internship: Option to do Internship with Henry Harvin® or partner firms
  • Job Opportunities: Job Opportunities regularly on mail
  • Interview Skills: Support in Clearing Interviews with Startups and Top Corporates

Learning Benefits

  • Explore+Analyze+Solve Business Problems using Analytics Tools like Python & Advanced
  • Understand 'What' & 'How' aspects of Data Collection
  • Get insights from Industry Best Practices for Data Measurement & Analysis
  • Communicate Business Objectives in a focused manner with data analysts & help evaluate results of data analysis better.
  • Develop Goal-Oriented Business Strategies
  • Gain Full View of Customers across Different Channels by Accessing+ Integrating+ Analysing Customer Data through Multiple Sources & Engage Customers in Real-Time
  • Understand the Affinity of Product by analyzing transactional data.
  • Understand Analytics-Based-Financial Decision Making to drive company's ROI
  • Take Actionable Data-Driven Decisions to increase market share
  • Helps with Adjusting to Macro Changes in predictive models

Career Benefits

  • Become Eligible for analytics jobs demanding background
  • Open doors to Job Opportunities Abroad demanding specialization
  • Fill the void of thousands of untapped High-Paying Jobs in analytics with Talent Shortage
  • Get Promoted in current profile with most in-demand skill
  • Distinguish your profile from peers during Job Interviews
  • Earn a Rewarding Certification- 'Certified Python Financial Analyst' (CPFA)
  • Upgrade biz card with Hallmark of Global Credential-CPFA Professional added next to your name
  • Improve CV & LinkedIn Profile with professional development
  • Support a Startup with high ROI
  • Build a Startup in one of the most rewarding fields of today- Analytics!

5+ Projects covered (Hands-on Practical Experience)

  • HR: Analyze the Attrition rate of Employees
  • Sales: Predicting Department wise Sales
  • Multi-Domain: Business Analytics Optimization
  • Marketing: Website Trend Analysis
  • Financial Analysis: Stock Market Prediction
  • Finance: Analyze ETF Trends

Know the complete offerings of our Financial Analytics with Python (CPFA) Course

Curriculum For Financial Analytics with Python (CPFA) Course

  • icons-carri22 Module 1: Analytics- General

    Financial Analytics with Python (CPFA) Course Curriculum
    • What is Analytics (BI, BA, Levels, etc)
    • Why Analytics (Appl in various domains..)
    • Different Roles in Analytics
    • Tools and Techniques in Analytics
    • Data Science, Data Mining, Statistics, Machine Learning, Supervised and Non-Supervised Techniques
    • CRISP Modeling Framework
    • Scales of Measurements
    • Quiz Module 1
  • icons-carri22 Module 2: Python Environment

    This module will help the candidate to gain knowledge about the Python Environment. Learn about Ananconda setup and various IDEs, GIT, and more. Create and Manage Analytics/ML Projects
    • Anaconda - Download & Setup
    • IDEs - Jupyter, Spyder, PyCharm
    • Git - Setup and Configuration with IDEs
    • Creating and Managing Analytics/ ML Projects
    • Quiz Module 2
  • icons-carri22 Module 3: Basic Programming and Data Structures

    This module will help the candidate with knowledge of basic programming and data structures. Gain extensive knowledge about Libraries, Numpy, pandas, Matplotib
    • Basic Data Structures & Programming Constructs
    • Libraries
    • Numpy
    • Pandas
    • Matplotlib
    • Quiz Module 3
  • icons-carri22 Module 4: Data Manipulation and Descriptive

    This module will guide the candidate with the knowledge of Data Manipulation and Descriptive summary. Know about Group summaries, crosstab, pivot, reshape data and manage missing values. Learn to manage indexes in Pandas, Scaling of data, and more
    • Group Summaries
    • Crosstab, Pivot and Reshape data
    • Managing Missing Values
    • Outliers Detection
    • Various types of Joins, merge
    • Managing indexes in pandas
    • Partitioning data into train and test set
    • Scaling of Data (useful for Clustering)
    • Quiz Module 4
  • icons-carri22 Module 5: Statistics

    This module will guide the candidate through the basics of statistics in Marketing Analytics. Learn extensively about Hypothesis testing, Probability distribution, and Sampling Techniques
    • Basic Statistics (mean, median, mode)
    • Other Statistics (sd, var, quantile, skewness, kurtosis)
    • Hypothesis Tests (t-test, Chi-sq tests, etc)
    • Probability Distributions (normal, binomial, etc)
    • Sampling Techniques
    • Quiz Module 5
  • icons-carri22 Module 6: Graphical Representation of Data

    This module will guide you through the techniques of Graphical Representation of Data. Learn about the selection of graphs and types of graphs. Manage plot parameters and advanced graphs such as correlations, heatmap, mosaic, and more
    • Selection of Graph
    • Basic Graphs (histogram, barplot, boxplot, pie, etc)
    • Libraries (matplotlib, seaborn, plotline)
    • Managing plot parameters(size, title, axis, legend, etc)
    • Advanced Graphs (correlation, heatmap, mosaic, etc)
    • Exporting graphs
    • Quiz Module 6
  • icons-carri22 Module 7: Linear Regression

    This module will guide you through the basic understanding of Linear Regression. Know about multiple linear regression and its libraries. Learn the metrics of Linear Regressions and its application & assumptions
    • Simple Linear Regression
    • Multiple Linear Regression
    • Libraries - sklearn, statsmodel
    • Predict DV on IVs
    • Metrics of Linear Regression(R2, RMSE, p-values)
    • Applications of Linear Regression
    • Assumptions of Linear Regression
    • Quiz Module 7
  • icons-carri22 Module 8: Logistic Regression

    This module will guide the learner with knowledge of Logistic Regression. Know the metrics of logistic regression. Predict the probability of DV on IV. Know extensively about applications of Logistic regression
    • Difference between Linear and Logistic
    • Logistic Regression
    • Metrics of Logistic Regression (confusion matrix, ROC curve)
    • Predict the probability of DV on IV
    • Applications of Logistic Regression
    • Quiz Module 8
  • icons-carri22 Module 9: classification

    This module will guide the candidate with the knowledge of classification in Marketing Analytics. Understand the tree from the plot and know about the classification tree. Learn to improve tree accuracy using random forests. Know the applications of the decision tree, KNN, Neural Networks, SVM, and more
    • Difference between classification and regression decision trees from CART models
    • Understanding tree from the plot
    • Classification Tree - predict class, plot, accuracy
    • Regression Tree - predict numerical value, plot, RMSE
    • Improving tree accuracy using Random Forests
    • Bagging and Boosting
    • Applications of Decision Tree
    • KNN (k-nearest neighbors)
    • Neural Networks
    • Gradient Descent
    • SVM (Support Vector Machine)
    • Quiz Module 9
  • icons-carri22 Module 10: Cluster Analysis

    This module will guide you through the knowledge of Cluster Analysis. Know about the Clustering for grouping data and its types. Learn about extracting data in clusters and application of clustering
    • Clustering for Grouping Data
    • Types - Hierarchical & Non-Hierarchical
    • K Means - output metrics (iter, error, plot)
    • Hierarchical (Agglomerative & Divisive) - Dendrogram, Visual plot
    • Extracting the data in clusters, Cluster Centers
    • Applications of Clustering
    • Quiz Module 10
  • icons-carri22 Module 11: Time Series

    This module will guide you through the knowledge of the Time Series. Create and manage date & time and time-series data. Download stock prices data using libraries and analyzing them, Know about the time series analysis and application of time series analysis
    • Creating & Managing dates and times
    • Creating and managing time-series data
    • Download stock prices data using libraries and analyzing them
    • Time Series Components(Seasonal, Irregular, Trend) & Types (Additive & Multiplicative)
    • Time Series Analysis - Simple Moving Average, Exponential Smoothing, ARIMA forecasting
    • Plotting Time Series, Candlesticks diagram for stocks
    • Applications of Time Series Analysis
    • Quiz Module 11
  • icons-carri22 Module 12: Complimentary Module 1: Soft Skills Development

    • Business Communication
    • Preparation for the Interview
    • Presentation Skills
  • icons-carri22 Module 13: Complimentary Module 2: Resume Writing

    • Resume Writing

Know the complete offerings of our Financial Analytics with Python (CPFA) Course

Book a Live Class, For Free!

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Skills Covered

Statistical Analysis

Financial Analysis

Financial Data Analysis

Python Programming

Data Classification

Linear & Logistic Regression

Tools Covered

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Know more about 50+ tools covered in this Financial Analytics with Python (CPFA) Course

Certifications

Get Ahead with Henry Harvin® Financial Analytics with Python (CPFA) Course Certification

What you'll Learn in this course

Best Practices for Data Measurement & Analysis

Developing Business Strategies

Transactional Data Analysis

Preparing Financial Reports

Managing Tangible and Intangible Assets

Applying Analytics Tools & Techniques for Financial Analysis

Our courses and Course Certificates are trusted by these industry leaders

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Know more about the value of this certificate in the industry

Career Services By Henry Harvin®

Career Services
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Placement Drives

We are dedicated to supporting our students throughout their career journey. Join us, and let's embark on a journey towards a successful and fulfilling career together.

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Premium access to Henry Harvin® Job portal

Exclusive access to our dedicated job portal and apply for jobs. More than 2100+ hiring partners’ including top start–ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

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Personalized Job Consulting

Share what kind of job you are looking for and we will provide you with verified job openings that match your requirement.

Job Profiles

Financial Analyst

Data Scientist

Quantitative Analyst

Portfolio Manager

Risk Analyst

Credit Analyst

Business Intelligence Analyst

Financial Advisor

Equity Research Analyst

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Who We Are?

Henry Harvin®️ ranks amongst the Top 500 Global Edtech Companies with 4,60,000+ Alumni, 900+ B2B Clients, 500+ Award Winning Trainers, and 1200+ Courses.

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Why Henry Harvin for the best Financial Analytics with Python (CPFA) Course

Certified & Experienced Instructors

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Meet our Trainers

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Experienced Data Scientist, Full Stack Developer, Digital Marketing, and Cyber Security expert

English, Hindi

12+ Years

M.Tech. (Computer Sceince & Engineering )

Experienced Data Scientist, Full Stack Developer,... Experienced Data Scientist, Full Stack Developer, and Digital Marketing expert with 10+ years in solving data-driven challenges across Education, Telecom, Tech, and E-Commerce. Skilled in advanced analytics, machine learning, and data visualization to optimize business performance. Passionate about delivering strategic solutions for diverse industries.

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