Training Workshops: Business Analytics for Managers Series
The business profession is in a transformative phase with data and technology at its
center. Managers are expected to be able to think critically about problems, apply
their foundational knowledge to new contexts, know how to work with data, use current
technology and, perhaps more importantly, know how to adapt to and learn new technologies.
Success in the new data environment requires an integrated set of skills, including
everything related to data: discovering them, cleaning and organizing them, analyzing
them, interpreting them and communicating them.
FCBE’s new executive education leadership series “Business Analytics for Managers”
complements the traditional business education in management, marketing, operations,
finance and accounting with data-driven tactics that can be applied to almost every
business vertical. We explore data quality and interpretation, while learning to identify
patterns, relationships and opportunities that we can use to influence business strategies
and tactics. These short courses are offered online in 4-hour blocks. You may register
for any or all of these courses.
Data Analytics: The Basics
Session I is an introductory course designed for business managers and executives
who make data-driven decisions frequently. The objective is to give you the tools
and skillsets to become smarter and more discerning in your approach to data. You
will learn basic statistical concepts that will help you better understand your data.
You will learn a variety of analytics packages, modules, and programming skills with
Python.
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Python, Excel & Data Visualization
Session II is an overview of the common functionalities of NumPy and Pandas and visualization
tools. You will learn Pandas library for data wrangling and data visualization. You
will learn some most commonly used Python libraries for descriptive measures and the
construction of tables and graphs. You will learn how to plot different types of plots
using Matplotlib and Seaborn libraries.
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Machine Learning & Text Analytics
Session III is to teach Python machine learning, oriented to business people. You will learn, from scratch, NumPy, ScikitLearn and TensorFlow solving regression or classification problems and data clustering. You will learn text mining skills that use natural language processing to transform the unstructured text in documents and databases into normalized, structured data suitable for analysis or to drive machine learning algorithms.
Webscraping, Blockchain & Cryptocurrency
Session IV is to teach web scraping tools (e.g., Requests, BeautifulSoup, Selenium,
Scrapy) and the data scraping process of extracting data from websites. You will learn
the fundamentals of blockchain technology, why and how blockchains matter to businesses,
its applications, etc. Likewise, you will learn digital tokens, the current cryptocurrency
environment and methods of cryptocurrency creation.
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