Financial Analytics Course with Python- Henry Harvin® in Noida

Financial Analytics with Python (CPFA) Course in Noida

  • ★ ★ ★ ★ ★ 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 6 day

25 Mar 2024

Learning Period

32 Hours

Book a Live Class, For Free!

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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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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 in Noida

Key Features

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Ranked Top Analytics Courses

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

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100% Practical Financial Analytics Training

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

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Job Support + Alumni Status

Get Regular Job Calls, Interview Skills Preparation and Career Services. Plus Earn Alumni Status to network with 460,000+ Proud Henry Harvin® Alumni

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1-Year Gold Membership of Analytics Academy

Capstone Projects + Guaranteed Internship + Weekly Job Support + Recorded Videos + Monthly Brush up Sessions + Interview Skills + Career Services

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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

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Trusted by 160+ Corporates and 60+ Colleges

Trusted by Leading Corporates such as Abbott Pharma, Avon Cosmetics, Hostooks, 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.

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

You Get 10-In-1 Program

Two-way Live Training Course

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Hallmark Certification

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10+ Projects

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Guaranteed Internship

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Personalized Job Support

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Student Engagement & Events

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Masterclass

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E-Learning Access

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Gold Membership

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Entrepreneurship Mentorship

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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.

Duration of Financial Analytics Course

32hrs Training + 24hrs Brush up Sessions + 50hrs E-Learning Access

Certification

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

Tools

R, Advanced Excel

Trainer

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 460,000+distinguished alumni worldwide

Gold Membership Program

Get 1-Year Membership of Henry Harvin® Analytics 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+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 in Noida

Financial Analytics with Python (CPFA) Course Curriculum

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

Know the complete offerings of our Post Graduate Program in Financial Analytics with Python (CPFA) Course

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 Data Science with Python

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.

Get Ahead with Henry Harvin® Financial Analytics with Python (CPFA) Course in Noida 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® 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.

  • Training Certification

    Get a Hallmark Certification of Certified Python Financial Analyst (CPFA) from Henry Harvin®

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