This course will guide you through everything you need to know to use Python for practical use and more! I’ve worked for Bloomberg for 17+ years and will present the knowledge to help you in this course. Python Fundamentals NumPy for High Speed Numerical Processing Pandas for Efficient Data Analysis Matplotlib for Data Visualization Pandas Time Series Analysis Techniques Statsmodels Importing financial markets data Create interactive financial charts with plotly Time series analysis with indexing, filling and resampling Create interactive data apps with streamlit Data visualization with Dash Why you should listen to me... In my career, I have built an extensive level of expertise and experience in both areas: Finance and Coding Finance: 17 years experience in Bloomberg for the Finance and Investment Industry... Build various financial markets analytics companies like KlickAnalytics, Cryptoquote ClickAPIs and more Python & Pandas: My existing companies extensively used python based models and algorithms Code, models, and workflows are Real World Project-proven Best Seller author on Udemy e.g. PostgreSQL Bootcamp: Go from Beginner to Advanced, 60+ Hours course Master Redis - From Beginner to Advanced, 20+ hours Python for Finance What are you waiting for? Guaranteed Satisfaction: Otherwise, get your money back with 30-day money back guaranteed by Udemy. Looking Forward to seeing you in the Course! LETS GET STARTED!
This course is a 'Mega Course', packed with so many practical topics to help you success practically! We'll cover the following topics:
Mega Python - Pandas, Numpy, ML, APIs, GraphQL, AWS, PySpark.part2.rar
Mega Python - Pandas, Numpy, ML, APIs, GraphQL, AWS, PySpark.part3.rar
Mega Python - Pandas, Numpy, ML, APIs, GraphQL, AWS, PySpark.part4.rar
Mega Python - Pandas, Numpy, ML, APIs, GraphQL, AWS, PySpark.part5.rar
Mega Python - Pandas, Numpy, ML, APIs, GraphQL, AWS, PySpark.part6.rar
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