Training: "Complete Business Intelligence (BI) with Python Data Science"

This is a PAID event.
Registration is required https://hubs.li/Q012BB_f0

Level INTERMEDIATE

Instructor's bio: Minerva Singh, PhD, Spatial Data Analysis Expert, Founder at Minerva's Data Lab

Minerva joined the Center for Environmental Policy (CEP), Imperial College London as a Research Fellow in 2018. Before that, she completed a PhD from the University of Cambridge in 2017 where she focussed on implementing data science techniques for quantifying the impact of forest loss on tropical ecosystems. She holds an MPhil (School of Geography and Environment) and an MSc (Department of Engineering) from Oxford University. She has nearly 10 year's experience in conducting academic research at the interface of tropical ecology, data science, earth observation (EO), and artificial intelligence (AI)and published 14 first-author peer-reviewed papers in international journals since 2013 including PLoS One. She has obtained research funding of approximately £275,000 since 2018 and provided research, consultancy, and data science support to startups and industry partners including Treeconomy and Morphobotics LLC. She is a Fellow of the Royal Geographic Society (RGS)and Royal Statistical Society (RSS) as well as serving as an Associate Fellow at the Data Science Institute, Imperial College London. She is also a best selling course-instructor on the online MOOC platform Udemy where she provides online teaching to more than 71,000 students from across the world on machine learning, earth observation, and deep learning related topic

Abstract:
Are you interested in harnessing the power of data for informing business decisions?
Do you want to make data-driven financial decisions?
Do you want to develop cutting-edge analytics and visualizations to support business decisions?
Are you interested in deploying predictive modeling 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 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 BUSINESS RELATED PROBLEMS- You will learn to use important Python data science techniques to derive information and insights from commonly used business data

My course provides a foundation to carry out PRACTICAL, real-life BI tasks using Python. By taking this course, you are taking an important step forward in your data science journey to become an expert 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?).

Course Outline
Module 1: Get Started With Business Intelligence (BI) using Python Data Science
Module 2: Data Pre-Processing
Module 3: Exploratory Data Analysis (EDA) With Data Visualizations
Module 4: Basic Statistics For Business Intelligence
Module 5: Basic Time Series Analysis
Module 6: Machine Learning For Business Intelligence

Which knowledge and skills you should have?

Prior exposure to python programming concepts
Familiarity with Jupyter notebooks
A desire to learn about practical data science applications for business intelligence

What is included in your ticket?

1. Access to the live training and a QA session with the Instructor
2. Access to the on-demand recording
3. Certificate of completion

[19th-21st April] Use ODSCCommunity2022 to get an additional discount on your East conference pass - https://hubs.li/H0_t0tT0

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