Certified Financial Python Analyst Course | Financial Analytics with Python

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ABOUT Financial Analytics With Python

Program Overview

  1. 4-days / 32-hours Classroom Training and Certification Course producing competent Python Financial Analysts
  2. Delivered by Senior Industry Professionals having extensive experience as a practitioner and trainer of Financial Analytics. These practitioners are also empanelled as domain experts with Henry Harvin Education
  3. Distinguish your profile with global credential of ‘Certified Python Financial Analyst’ and showcase yourself as certified financial analytics professional by using the hallmark of CPFA next to your name
  4. Get 24x7 access to Henry Harvin’s high-tech LMS platform (App / Mobile App Based) with abundant content on Financial Analytics (ppt, pdf, videos, articles, important links, data etc)
  5. Gain hands-on experience of Financial analytics with industry-standard tool & techniques applicable in real situations
  6. Practice real-life case studies, strategies, and examples through above tools and techniques in-session activities, videos and presentation slides (ppts.)
  7. Get 100% Placement and Internship Support exclusively entitled for CPFA Professionals


Learning Outcomes:
Provide orientation to:

  1. Explore, Analyse & Solve Financial Problems using Analytics Tools like Python & Advanced Excel.
  2. Understand 'What' & 'How' aspects of Financial Data Collection
  3. Get insights from Industry Best Practices for Financial Measurement & Analysis
  4. Communicate Financial Objectives in a focused manner with data analysts & help evaluate results of data analysis better
  5. Develop Goal-Oriented Financial Strategies
  6. Gain Full View of Customers across Different Channels by Accessing+Integrating+Analysing Customer Data through Multiple Sources & Engage Customers in Real-Time
  7. Understand the Affinity of Product by Analyzing Transactional data
  8. Understand Analytics-Based- Financial to drive ROI for your Financial Campaigns
  9. Take Actionable Data-Driven Decisions to increase market share
  10. Ultimately, identify what is working and what is not working for your Financial Campaigns



Course Differentiation:
1. Economical program for fast learning of practically used concepts in Financial analytics
2. Tool-based demonstration of the application of analytics to the Financial data
3. Brings multiple practical case-based examples, scenarios and exercises directly from industry practitioners themselves

  About the Trainer:
  Certified Python Financial Analyst Course is delivered by Empanelled Domain Experts of Henry Harvin Education.
  These Industry Professionals have extensive experience as practitioners and trainers of Financial analytics.

BATCH DATES
DATES CITY DURATION PRICE ENROLL
9th, 10th, 16th & 17th Feb 2019 New Delhi 32 Hours INR15,000.00
ENROLL
Registrations Closed
On Campus On Campus 32 Hours INR15,000.00

Registrations Open
COURSE CURRICULUM | Top 10 Queries | RELATED INFORMATION

     

    Module 1

    • Introductory Topics to Analytics
    • Introduction to Data Management
    • Excel Functions
    • Basics of Python
    • Project Management in Python
    • Data Structures in Python

    Module 2

    • Data Manipulation & Summarisation in Python
    • Analytical Modeling
    • Simple Linear Regression
    • Multiple Linear Regression
    • Visualization using Graphs
    • Logistic Regression
    • Missing Value and Outlier Analysis

    Module 3

    • Decision Tree - CART 
    • Decision Tree - CHAID
    • Random Forest 
    • Clustering
    Module 4
    • Market Basket Analysis
    • Date Functions
    • Time Series Analysis

    Module 1

    • Introductory Topics to Analytics
    • Introduction to Data Management
    • Excel Functions
    • Basics of Python
    • Project Management in Python
    • Data Structures in Python

    Module 2

    • Data Manipulation & Summarisation in Python
    • Analytical Modeling
    • Simple Linear Regression
    • Multiple Linear Regression
    • Visualization using Graphs
    • Logistic Regression
    • Missing Value and Outlier Analysis

    Module 3

    • Decision Tree - CART 
    • Decision Tree - CHAID
    • Random Forest 
    • Clustering
    Module 4
    • Association Rule Analysis
    • Date Functions
    • Time Series Analysis 

 

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Henry Harvin
DIG DEEPER INTO THE CURRICULUM


Don't worry, we don't believe in spamming !
Henry Harvin
DIG DEEPER INTO THE CURRICULUM


Don't worry, we don't believe in spamming !
Henry Harvin
DIG DEEPER INTO THE CURRICULUM


Don't worry, we don't believe in spamming !
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