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Analyze, Visualize, and Predict
All-in-one Python Course
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Know about the Future of Finance (Cloud, RPA, Data Analytics, Ai, ML, BlockChain)
How to make a Super Productive Office
Basic Tips to bring Efficiency while working on Desktop
Automation through Command Prompt
Hidden Features and Tricks for Excel
Most Efficient Way to Use any VBA (Without Learning Coding)
Automation of your Boring MIS reporting (With just Plain Excel)
Excel On Steroids - The Power of Power Query and Power Pivot
Visualize your Data Like Never Before - Power BI
Top Apps for Boosting Office Productivity
Role & Importance of Automation (Tools and Usages)
What is Coding and Do we Need it?
Python Introduction and Its Usage for Finance Professionals
ABasic Python Concepts and Syntaxes
Familiarization with Standard Python Codes and IDEs
Use of Python in Excel
Open Source Community and Git Hub
Use of Open Source Codes for Files Operations
Keyboard Simulations, Email Automation, and Web Scrapping
Advanced Power Query and Publishing Power BI
Sneak Peek to the Future ...How will AI / ML be introduced in Finance?
Tally Automation with Python
Advanced Email Automation with Outlook
GST Automation with Web Scrapping
Improve Your Codes with Object-Oriented Programming
AutoRun Python Script- Based on Schedules
Making of App Interfaces for Task Automation
Deployment of App- Creating setup files for Sharing of Python Apps
Database and Basic SQL Concepts
According to the 2023 finance industry report from Indeed, Python is the most in-demand programming language for finance jobs. This trend is expected to continue as more and more finance professionals adopt Python for their daily tasks.
Unlike other programming languages, Python has a simple and intuitive syntax, making it easy for beginners to pick up. This means that finance professionals can start using Python right away to solve real-world problems and improve their workflow.
The Python community is constantly growing and is full of helpful resources, such as forums, blogs, and online courses. This makes it easy for finance professionals to find support and guidance as they learn and use Python in their careers.
Python has a large number of libraries and frameworks that can be used for tasks such as data analysis, machine learning, and web development. This makes it a powerful and flexible tool for finance professionals to use in their daily work.
Python is a powerful tool that can save you time on a daily basis by automating tedious tasks and streamlining your workflow.
Python can be used to automate repetitive tasks, such as data entry, data cleaning, and calculations, saving you hours of manual work.
CA Pranav Tulshyan is an ambitious tech enthusiast and a rank holder in all three levels of the Chartered Accountancy Course (AIR-5 in CA Final and AIR-1 in both CA IPCC and CA CPT). After completing his articleship with EY, he is now working with IOCL. He is a firm believer that "A day without learning is a day wasted," and encourages others to make the most of their 86,400 seconds each day.
Pranav is a spiritual admirer and is always striving to upgrade and improve himself. He has given numerous webinars on topics such as GST Automation, Increasing productivity at work, and implementing automation. He has also developed various Python codes to assist with GST-related tasks, as well as multiple customized programs to automate mundane tasks.
Pranav is on a mission to make Finance professionals the most admired and relevant professionals in the modern era. He is determined to bring a drastic change in Finance related tasks through automation and is building a community to ensure that finance professionals remain a step ahead in the future. He believes in being proactive and embracing change before it is necessary.
Python for Finance is a course designed to teach finance professionals how to use Python to automate routine tasks, analyze financial data, and develop trading algorithms. The course covers the basics of Python programming, along with specialized libraries and tools used in finance.
Python can help automate routine tasks in finance through the use of scripts. For example, finance professionals can write a Python script to automatically download data from financial databases, perform calculations, and generate reports.
Python's ability to work with large datasets makes it an ideal tool for finance professionals. Python's data analysis and visualization capabilities make it easy for finance professionals to quickly analyze and interpret large volumes of financial data, identify trends, and make data-driven decisions. Python can also help reduce the risk of errors and inconsistencies that can occur when these tasks are performed manually.
Python can be used to develop trading algorithms that automatically buy and sell stocks based on specific criteria. The algorithm can be programmed to monitor the market continuously, make decisions based on the latest data, and execute trades in real-time
No, the Python for Finance course is designed for both experienced coders and non-coders. The course provides a step-by-step guide to learning Python, starting with the basics and gradually progressing to more advanced topics. The course does not assume any prior knowledge of programming, making it accessible to anyone interested in using Python in finance.
The Python for Finance course is designed to cater to learners who have no prior programming experience. With the right training, anyone can learn how to use Python in finance and take advantage of its benefits. The course includes real-world examples and case studies, allowing learners to apply their new skills to practical scenarios.
Yes, you will get a certificate after you complete this course
Yes, it’s the price for all three parts together
The validity of the course is 6 months
Yes, you will get a validity extension by contacting our support team
It is a pre-recorded batch. However, there will be live interactive sessions with the trainer.
You will get the resources in the course with which you have to practice
You will get 1-3 practice assignments and resources per video
The course is in Hinglish
No, the course is structured from a very basic. You need not learn any coding to join this course
No, you should not memorize the codes, you have to learn the logic through regular practice
There is no such requirement, you can watch the course at your convenience. But you are expected to practice regularly
It is advised to watch the course at normal speed. But the speed option is available
Yes, you can watch the course on a mobile phone in our app, but you need a laptop to practice
No, we have structured the course from basic to advanced so that candidates can learn it easily
Yes, you will be able to code on your own, that is the goal of our course
The earlier you learn the better it is, you can learn the course now and practice when you join articleship
It is relevant for all the fields where there is repetitive, rule-based & resource draining
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