ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT CARRYINGOUT BUSINESS INTELLIGENCE WITHPYTHON

• Are you interested in harnessing the power of structured and unstructured data for informing business decisions?

• Do you want to make data-driven financial decisions?

• Do you want to turn unstructured data from social media posts, articles and web pages into real insights?

• Do you want to develop cutting edge analytics and visualisations to support business decisions?

• Are you interested in deploying predictive modelling and forecasting methods to get an edge over the competition?

You Can Gain An Edge Over Other Data Scientists If You Can Apply Python Data Analysis Skills For Practical Business Intelligence (BI)

• By enhancing the value of your company or business through the extraction of actionable insights from commonly used structured and unstructured business data

• Stand out from a pool of other data analysts by gaining proficiency in the most important pillars of BI applications

  
  

MY COURSE IS A HANDS-ON TRAINING WITH REAL BUSINESSRELATEDPROBLEMS-You will learn to use important Python data science techniques to derive information and insights from both structured data (such as those obtained from databases) and unstructured text data

My course provides a foundation to carry outPRACTICAL, real-life BI tasks using Python. By taking this course, you are taking an important step forward in your data science journey to become anexpert in deploying Python data science techniques for answering practical business questions (e.g. what kind of customers sign up for a long-term phone plan?).

Why Should You Take My Course?

I have an MPhil (Geography and Environment) from the University of Oxford, UK. I also completed a data science intense PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of experience inanalyzing real-life data from different sourcesand producingpublications for international peer-reviewed journals.

This course will help you gain fluency in deploying data science-based BI solutions using a powerful clouded based python environment called GoogleColab. Specifically, you will

• Learn the main aspects of implementing a Python data science framework within Google Colab

• Learn to obtain both unstructured and structured data from different sources including Twitter, SQL databases and freely available financial data

• Implemented unsupervised learning algorithms to obtain insights from real-life business and financial datasets such as those related to stock market performance

• Implement common statistical techniques to extract valuable insights and answer questions such as which customers are likely to sign up for a long-term phone plan or how do Airbnb rentals vary across the different cities in Australia.

• Implement powerful machine learning algorithms to build predictive and forecasting models

• Carry out common analytics and visualization tasks

• Use common natural language processing (NLP) techniques to learn what your customers are really saying in their Amazon reviews

  
  

  You will work on practical mini case studies relating to (a) Airbnb rentals in Australia (b) stock price data relating to the major companies listed on the Nasdaq (c) phone company customer turn over (d) textual data of Amazon reviews

In addition to all the above, you’ll haveMY CONTINUOUS SUPPORTto make sure you get the most value out of your investment!

ENROLL NOW :)