Mega Python - Pandas, Numpy, ML, APIs, GraphQL, AWS, PySpark

One Mega course which covers programming, web development, APIs, DevOps, Financial World, Machine Learning and much more

What you'll learn
One Mega course 50+ hours with 30+ practical topics
Pandas, Numpy, Machine Learning, AWS Services, GraphQL, APIs Developments
Create and analyze projects via Python Pandas, Numpy libraries and more
Learn about building APIs, working with Databases like MongoDB, Cassandra
How to use Amazon S3, SQS and other services as a DevOps
Work with PySpark and DataFrames
Analyze practical projects like Global Earthquakes, Monkey Pox Virus and more..

Requirements
No specific knowledge needed!

Description
Welcome to Mega Python! 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. This course is a 'Mega Course', packed with so many practical topics to help you success practically! We'll cover the following topics:Python FundamentalsNumPy for High Speed Numerical ProcessingPandas for Efficient Data AnalysisMatplotlib for Data VisualizationPandas Time Series Analysis TechniquesStatsmodelsImporting financial markets dataCreate interactive financial charts with plotlyTime series analysis with indexing, filling and resamplingCreate interactive data apps with streamlitData visualization with DashWhy you should listen to me…In my career, I have built an extensive level of expertise and experience in both areas: Finance and CodingFinance:17 years experience in Bloomberg for the Finance and Investment Industry…Build various financial markets analytics companies likeKlickAnalytics,CryptoquoteClickAPIs and morePython & Pandas:My existing companies extensively used python based models and algorithmsCode, models, and workflows are Real World Project-provenBest Seller author on Udemye.g. PostgreSQL Bootcamp: Go from Beginner to Advanced, 60+ Hours courseMaster Redis - From Beginner to Advanced, 20+ hoursPython for FinanceWhat 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!

Who this course is for:
Anyone who want to explore the world of Python, Anyone who want to transition from Excel into Python, Anyone who want to learn how to do time series analysis on any global financial market instruments. i.e. Stocks, Indexes, Crypto and more, Anyone who wants to have a single mega-course on Python which covers various practical topics