Upskill yourself in the most in-demand tools & technologies of Financial Data Analysis, which will open tons of opportunities in Fintech industries
Trusted by over 4,332+ students
Top Companies in Financial Industry are using PYTHON
Microsoft Certified Data Analyst professional & a Tableau Desktop Specialist
MBA Cambridge University
MD & Founder Jobaaj Group
Become a Financial Analyst
₹ 24,999 /-
₹ 20,999 /-
Hi, I’m Shiva, a Computer Science Engineer and a passionate Entrepreneur.
I’m Associate Director at Nishtya Infotech and Co-Founder of Jobaaj Learnings which is the EduTech arm of Jobaaj.com which trains professionals by focusing only on practical exposure and thus making them industry-ready.
I am working with of Vision of reforming the Edutech world by focusing only on Practical Exposure so the students can lead the way in new technologies (like Data Science, Machine Learning, Cloud Computing, etc.)
By writing our first line of Python code, we will begin from the very beginning. After learning all the core concepts of Python, You will be introduced to NumPy and Pandas and how to import and use them. Find out how to access .csv and .xlxs files in Python. Also, you will learn how to visualize data using libraries such as Seaborn, Matplotlib, etc.
Four different data sources are covered in this course. Also, The students will learn how to install the required libraries and fetching the LIVE Data from YFinance, Alpha Vantage, EOD, ONADA, etc using a few lines of Python code. These Data Sources will provide you with Real-time and Historical Data of Cryptocurrencies, Fundamentals, Ratings, Historical Prices and Yields of Corporate Bonds, as well as Profit and Loss Statements (P&L).
Modern Portfolio Theory & Asset
Pricing (CAPM, Beta, Alpha, SLM & Risk divers)
Great course for someone new to Python like me. - The quality of the videos and presentations was outstanding. - The additional Quizzes provided were useful to revise the topics studied. - The Worksheets provided throughout the course were very useful to apply in practice the material studied Overall practical oriented course.
This course gives insight into how python can be used in the Financial Sector, though I was unsure of how applicable it is, as it seems simplified. learned a lot about python in this course Would recommend it to a beginner of python and intermediate finance student.
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