Practical Financial Data Analysis With Python Data Science Free Tutorial Download
What you’ll learn
LEARN To Obtain Real World Financial Data FREE From Yahoo and Quandl
BE ABLE To Read In, Pre-process & Visualize Time Series Data
IMPLEMENT Common Data Processing And Visualisation Techniques For Financial Data in Python
LEARN How To Use Different Python-based Packages For Financial Analysis
MODEL Time Series Data To Forecast Future Values With Classical Time Series Techniques
USE Machine Learning Regression For Building Predictive Models of Stock prices
LEARN How to Use Facebook’s Powerful Prophet Algorithm For Modelling Financial Data
IMPLEMENT Deep learning methods such as LSTM For Forecasting Stock Data
Prior Familiarity With The Interface Of Jupiter Notebooks and Package Installation
Prior Exposure to Basic Statistical Techniques (Such As p-Values, Mean, Variance)
Be Able To Carry Out Data Reading And Pre-Processing Tasks Such As Data Cleaning In Python
Interest In Working With Time Series Data Or Data With A Time Component To Them
THIS IS YOUR COMPLETE GUIDE TO FINANCIAL DATA ANALYSIS IN PYTHON!
This course is your complete guide to analyzing real-world financial data using Python. All the main aspects of analyzing financial data- statistics, data visualization, time series analysis and machine learning will be covered in depth.
If you take this course, you can do away with taking other courses or buying books on Python-based data analysis.
In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in analysing financial data in Python, you can give your company a competitive edge and boost your career to the next level.
LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:
Hey, my name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment), graduate. I recently finished a PhD at Cambridge University.
I have +5 years of experience in analyzing real-life data from different sources using data science-related techniques and I have produced many publications for international peer-reviewed journals.
Over the course of my research, I realised almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic.
So, unlike other instructors, I dig deep into the data science features of R and gives you a one-of-a-kind grounding in data science-related topics!
You will go all the way from carrying out data reading & cleaning to finally implementing powerful statistical and machine learning algorithms for analyzing financial data.
Among other things:
- You will be introduced to powerful Python-based packages for financial data analysis.
- You will be introduced to both the commonly used techniques, visualization methods and machine/deep learning techniques that can be implemented for financial data.
- & you will learn to apply these frameworks to real-life data including temporal stocks and financial data.
NO PRIOR PYTHON OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED!
You’ll start by absorbing the most valuable Python Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python.
My course will help you implement the methods using REAL DATA obtained from different sources. Many courses use made-up data that does not empower students to implement Python-based data science in real-life.
After taking this course, you’ll easily use the common time-series and financial analysis packages in Python…
You’ll even understand the underlying concepts to understand what algorithms and methods are best suited for your data.
We will work with real data and you will have access to all the code and data used in the course.
JOIN MY COURSE NOW!
Who this course is for:
- Anyone Who Wants Master Financial Data Analysis In Python
- Anyone Who Wants To Become Proficient In Financial Data Analysis Working With Real Life Data
- People Interested in Applying Machine Learning Techniques to Financial Data
- Anyone Who Wants To Become An Expert Data Scientist