Financial Analytics Certification Training with Python


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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.

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Key Features

Ranked Top Analytics Courses

Henry Harvin Analytics® Courses are Ranks Top in the industry by

100% Practical Financial Analytics Training

Gets Hands-on training on Financial Analytics using Python with + Learn with Projects + Focus on Learning While Doing + Popular GCAO Pedagogy

Job Support + Alumni Status

Get Regular Job Calls, Interview Skills Preparation and Career Services. Plus Earn Alumni Status to network with 23000+ Proud Henry Harvin Alumni

1-Year Gold Membership of Analytics Academy

Live Projects + Guaranteed Internship + Weekly Job Support + Recorded Videos + Monthly Brushup Sessions + Interview Skills + Career Services

Recommended by IIM Ahmedabad & IIT Bombay Alumni

Only Analytics Course to be Recommended by 13+ IIM's and 7+ IIT's including IIM Ahmedabad and IIT Bombay students

Trusted by 160+ Corporates and 60+ Colleges

Trusted by Leading Corporates such as Abbott Pharma, Avon Cosmetics, Hostbooks, NTPC, SAB Miller, Apollo Tyres, Deloitte, Fidelity Investments & More. And by 12+ IIM's including IIM Ahmedabad, IIM Bangalore & IIM Calcutta and 7+ IIT's including IIT Bombay & IIT Delhi.

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.

Duration of Financial Analytics Course

32hrs Training + 24hrs Brushup Sessions + 50hrs E-Learning Access


  • CPFA (Certified Python Financial Analyst)
  • (Recommended by IIM Ahmedabad & IIT Bombay Students)


R, Advanced Excel


Delivered industry professionals having extensive experience as practitioners of Financial Analytics with international companies. These professionals are also impaneled as domain expert with Henry Harvin® Analytics Academy

Alumni Status

Get a Henry Harvin Alumni status & network with 23000+distinguished alumni worldwide

Gold Membership Program

Get 1-Year Membership of Henry Harvin® Finance Academy 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+Analyse+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 Certification Training with Python

Frequently Bought Together

Financial Analytics with Python (CPFA) Course Curriculum

This module will guide the candidate with the knowledge of Analytics. Learn about the different roles in Analytics.  Know about the tools and techniques in Analytics. Gain knowledge about Data Science, Data Mining, STatistics, MAchine learning, and more. Learn about the CRISP Modeling Framework. 

  • 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

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

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

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)

This module will guide the candidate through the basics of statistics in Financial 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

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

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

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

This module will guide the candidate with the knowledge of classification in Financial 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 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)

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

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
  • Business Communication
  • Preparation for the Interview
  • Presentation Skills

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Tools Covered

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

  • Earn your CPFA Certification

    Our Financial Analytics Course is exhaustive and this CPFA Certification is a proof that you have taken a big leap in mastering the domain.

  • Differentiate yourself with a Henry Harvin Financial Analytics Certification

    The practical knowledge and actionable skillset you've gained working on projects, simulations, case studies will set you ahead of the competition.

  • Share your achievement

    Talk about it on Linkedin, Whatsapp, Instagram, Facebook, Twitter boost your resume or frame it - tell your friends and colleagues about it.

Our courses and Course Certificates are trusted by these industry leaders

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Why Henry Harvin for Financial Analytics Certification Training with Python


Ranked Top 3 Analytics Courses by

Post Training Support

Upgrading your knowledge is our responsibility by providing you new recorded videos and monthly brushup sessions. In addition get career services, regular job updates, interview skills preparation and more.

Alumni Status from Henry Harvin

Get Support from Data Science Experts over the next 12 months via monthly brushup sessions.

Highly Valued LMS

Get 24x7 + Lifetime Access to Web + Mobile-Based App with Abundant Content on Income Tax, Recorded Videos, PPT and Study Notes.


Harvin Education with affiliations from the American Association of EFL, UK Cert, UKAF, Content Writing Association in India, MSME & Govt of India.

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Financial Analytics with Python (CPFA) Course Training Certification Process



Make registration for the Financial Analytics Course


Attend Financial Analytics Training

Attend classes of Financial Analytics Course to get credits to be eligible for the certification. View session recordings in case missed.


Give Financial Analytics Assessment

Deliver the assignments and activities assigned during the Financial Analytics Classes as part of the practical assessment system to become eligible for the Financial Analytics Practitioner Certification


Get Financial Analytics Practitioner Certification

Post completion, get CPFA Financial Analytics Practitioner Certification from Govt Recognized Institute. Post it on social media get framed and increase value in the industry.

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Financial Analytics with Python (CPFA) Course in other cities

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Financial analysts are in great demand as they are highly rated and are considered the backbone of a company. Armed with a Financial Analyst Certification they are capable of using their analytical knowledge to direct business decisions, make predictions about the future and create long term stability. A Financial Analytics Course in India enables participants to analyse actual data to help in deriving legitimate conclusions, predictive insights and enhanced decision making.

Why Python?

Python is one of the most successful programming languages nowadays. It is among the top three popular languages and is also considered as the best tool by the FinTechs and financial institutions. Python is a simple and robust language used by researchers, traders, and analysts. It has been commonly used in a huge range of applications from risk management to cryptocurrencies. Successful companies like Stripe, Zopa, Robinhood, and several others have been using python for creating cutting-edge solutions. Some of the notable features of python are: It is simple enough to draft or use and thus is able to manage most complicated applications of FinTechs and Financial Institutions. Python's language is easy, so it helps organizations in the rapid development of software needed for their product marketing needs. This further reduces the lapse rates which is important for the heavily-regulated finance industry.

Python’s flexibility and scalability enable FinTechs to improve on their customer’s satisfaction and provide value-added services to them. Using Python as a robust tool, developers don't need to start from scratch. This saves the organization’s considerable time and funds on project development. Python is emerging as a favourite programming language. Organizations invest in solutions made with Python as they are more stable and will not become obsolete soon.


Every business manages loads of financial data. Financial Analytics is preferred to handle: The emergence of new business models The rising intricacies of businesses with the advancement in technology Competitions leveraging upon the application of integrated analytics Financial analysts help gain the financial strength of a business. They help to: Measure the financial performance of the company in an efficient manner. Predict fluctuations in the market Manage investments more effectively Improve business procedures and outcomes Prepare timely financial reports to measure performance Gauge and manage the value of tangible and intangible assets.


Financial and data analytics is a field that uses technology and programs with advanced algorithms plus mathematical computations to gather, process, and interpret data. The gathered data later helps to prognosticate future tendencies, reach decisions, and point additional insightful details. These predictions are important in designing risk management systems or determining possible changes/transitions in financial markets.

Financial Analytics Course with Python in Delhi and Financial Analytics Course in Bangalore, by Henry Harvin Academy of competent courses, covers everything that FinTechs and Financial Institutions deemed to have in their experts. The training will help you learn to read CSV files, visualize data, manage statistics, and so on.

Does This Course Cover All Relevant Features Of Python Along With Analytics?

Henry Harvin Education has been a pioneer in training students with our competency development courses without compromising on the quality of our course curriculum and selection of our trainers. Our Financial Analytics Course with Python programming has likewise been designed and taught by skilled industry masters. Starting from the fundamentals of Python programming and proceeding through data structures, data manipulation, and so on; the participants will gain relevant and practical information. Everything related to the course is illustrated in the best possible way through understandable and clear language, relevant examples plus videos. We aim to design high-end curriculum and study materials that help trainees to derive the best of the best from the time they invest with us.

What Makes This Course Different?

This program will teach you to code in Python and practice these skills in the Finance world. The sessions are not at all boring but interactive ones so that you will not be left with a single doubt either. The expertise, our instructors hold, is worth trusting. All of them are highly skilled practitioners with practical knowledge and industry experience of many years. Training will cover all the relevant topics and subjects you need to learn while trusting us. Course-related real-world case studies will help you reinforce everything you’ve studied. Regular assignments by the instructors will help you gain comprehensive knowledge of the topics being covered in the session. Excellent and dynamic support throughout and post-course by Instructors too. Who Can Register? This course is for all those candidates who are interested in finance and investments, programming beginners, aspiring data scientists, Finance graduates, Programmers, professionals and everyone else who desires to learn how to code and implement his skills in practice and wants to thoroughly apply their learning in Python.


Being an extremely versatile language, Python is incredibly useful in the most weighted industry- finance where it is used for creating highly scalable programs and web-based applications. Python for finance has a lot of boons and a competitive advantage to drive the economic industry to fortune. Due to the abundance of financial data, people are no longer able to review and evaluate data professionally. Consequently, machines step up for the job at incredibly high-speed but low-cost to perform financial data analysis. So, artificial intelligence (AI) and finance are closely connected somewhere. Hence, it is no wonder that Python is currently the go-to language for AI-based data analysis. Financial Analytics Course online (with python) is, therefore, helpful to augment your skills and become a successful Financial Analyst.

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