Henry Harvin Analytics Courses are Ranks Top in the industry by Trainings360
Gets Hands-on training on Financial Analytics using Python with + Learn with Projects + Focus on Learning While Doing + Popular GCAO Pedagogy
Get Regular Job Calls, Interview Skills Preparation and Career Services. Plus Earn Alumni Status to network with 23000+ Proud Henry Harvin Alumni
Live Projects + Guaranteed Internship + Weekly Job Support + Recorded Videos + Monthly Brushup Sessions + Interview Skills + Career Services
Only Analytics Course to be Recommended by 13+ IIM's and 7+ IIT's including IIM Ahmedabad and IIT Bombay students
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.
Financial Analytics Course with Python enables professionals to understand analytics-based business decision making to drive the company's ROI.
32hrs Training + 24hrs Brushup Sessions + 50hrs E-Learning Access
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
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Get 1-Year Membership of Henry Harvin® Finance Academy and avail the following benefits:
Know the complete offerings of our Financial Analytics Certification Training with Python
Understanding the need for Analytics in Specific Domain; CRISP Modeling
Properties & Types of Data, Measurement Scale, Basic Statistics on Data
Need for R, Features of R, Download, Setup, Installation ; Python & Python Studio; Configuration. eg. Learning to setup Python and share Code
Creating and Understanding Basic Data Structures in Python - Vector, List, Matrix, Array, Data Frame & Factors which help in creating data in Python programming
Understanding how data can be summarised in different ways to do Descriptive Analysis which describes features of data
Understand what is Modeling and how it can be used in Various Domain
P Value, Z Value, Hypothesis, Null Hypothesis, Alternative Hypothesis, F Test, ANOVA Introduction)
Start of Machine Learning, Develop a Prediction Model for predicting a financial values based on one or more than 1 Independent Variable; Understand the assumptions and measures of goodness of Model, Understand its prediction abilit
Creating Graph in Python and understanding which graph to be used when
Understanding how missing values & outliers are handled in data summarisation & modeling
Predicting Binary Outcome (Buy or not, Churn or not, Loan Default or not) based on Independent Variables eg. Predicting Cases for Fraud, Default on Payment etc
Grouping Customers based on characteristics so that they can be target for sale increase
When to use CART & CHAID to create decision tree based on categorical variables.
Random Forest, XGBoost: Problems of Decision Tree covered in Random Forest, How group thinking impacts the decisions (from business point of view)
Understand how Association Rules can be created using Market Basket Analysis. Finding Interesting association between items purchased by Customers and building strately to sell more
Configure Twitter Account & Application; Setup for downloading tweets and analyse them for positive and negative sentiments related to Financial News/ Articles
<p>Soft Skills Development</p>
<p>Resume writing</p>
- 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
Know more about 50+ tools covered in this Financial Analytics with Python (CPFA) Course
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We have partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs
Our Financial Analytics Course is exhaustive and this CPFA Certification is a proof that you have taken a big leap in mastering the domain.
The practical knowledge and actionable skillset you've gained working on projects, simulations, case studies will set you ahead of the competition.
Talk about it on Linkedin, Whatsapp, Instagram, Facebook, Twitter boost your resume or frame it - tell your friends and colleagues about it.
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Ranked Top 3 Analytics Courses by Trainings360
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.
Get Support from Data Science Experts over the next 12 months via monthly brushup sessions.
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.
Know more about what makes Henry Harvin Financial Analytics with Python (CPFA) Course Best in the Industry
Make registration for the Financial Analytics Course
Attend classes of Financial Analytics Course to get credits to be eligible for the certification. View session recordings in case missed.
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
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.
Know more about how Henry Harvin alumni is making use of this Financial Analytics with Python (CPFA) Course certification
Know the complete offerings of our Financial Analytics with Python (CPFA) Course
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.
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.
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.
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.