Tag: Business Analyst

Duration

21 hours (usually 3 days including breaks)

Requirements

• programming background with databases / SQL
• basic knowledge of Linux (be able to navigate Linux command line, editing files with vi / nano)

Lab environment

Zero Install : There is no need to install hadoop software on students’ machines! A working Hadoop cluster will be provided for students.

Students will need the following

• an SSH client (Linux and Mac already have ssh clients, for Windows Putty is recommended)
• a browser to access the cluster. We recommend Firefox browser with FoxyProxy extension installed

Overview

Apache Hadoop is the most popular framework for processing Big Data. Hadoop provides rich and deep analytics capability, and it is making in-roads in to tradional BI analytics world. This course will introduce an analyst to the core components of Hadoop eco system and its analytics

Audience

Business Analysts

Duration

three days

Format

Lectures and hands on labs.

Course Outline

• Section 1: Introduction to Hadoop
  • hadoop history, concepts
  • eco system
  • distributions
  • high level architecture
  • hadoop myths
  • hadoop challenges
  • hardware / software
  • Labs : first look at Hadoop
• Section 2: HDFS Overview
  • concepts (horizontal scaling, replication, data locality, rack awareness)
  • architecture (Namenode, Secondary namenode, Data node)
  • data integrity
  • future of HDFS : Namenode HA, Federation
  • labs : Interacting with HDFS
• Section 3 : Map Reduce Overview
  • mapreduce concepts
  • daemons : jobtracker / tasktracker
  • phases : driver, mapper, shuffle/sort, reducer
  • Thinking in map reduce
  • Future of mapreduce (yarn)
  • labs : Running a Map Reduce program
• Section 4 : Pig
  • pig vs java map reduce
  • pig latin language
  • user defined functions
  • understanding pig job flow
  • basic data analysis with Pig
  • complex data analysis with Pig
  • multi datasets with Pig
  • advanced concepts
  • lab : writing pig scripts to analyze / transform data
• Section 5: Hive
  • hive concepts
  • architecture
  • SQL support in Hive
  • data types
  • table creation and queries
  • Hive data management
  • partitions & joins
  • text analytics
  • labs (multiple) : creating Hive tables and running queries, joins , using partitions, using text analytics functions
• Section 6: BI Tools for Hadoop
  • BI tools and Hadoop
  • Overview of current BI tools landscape
  • Choosing the best tool for the job

The Business Analyst Role in Implementing AI-based Business Solutions

Requirements Elicitation and Analysis for Conversational User Experiences

Comparing Natural Language Understanding (NLU) Bots and Rule-based Bots

Overview of Conversation Flow Analysis and Design for the Business Analyst

Requirements

• This overview of the field has no prerequisites.

Description

How AI & Machine Learning Change Your Business Analyst Career

Anyone defining requirements for digital solutions must keep up with new trends in technology such as Artificial Intelligence (AI) and Big Data to remain relevant in the workforce.

The requirements elicitation and analysis process is just as crucial for AI initiatives as it is for any other project. Business stakeholders and technical experts like data scientists, chatbot developers, or machine learning engineers involved in an AI project need to collaborate to produce a successful product.

This course is a management overview of what emerging disciplines like Data Science, Data Analytics, Data Analysis, Business Analytics, and Chatbots (Conversational User Interfaces) offer organizations and how the role commonly called Business Analyst must morph to stay relevant.

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Business Analysts Make Sure Technological Developments Drive Business Value

The role of the business analyst is to help organizations with their decision-making process by asking questions and analyzing data to better understand what they need. With the emergence of AI, data scientists need input from business analysts about what type of information is needed to generate AI models.

The course presents an example of the evolving role of business analysts in the development of a directed chatbot.

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Revolutionize Your Customer Service or Product Sales

Learn how to create a chatbot or conversational user interface for your company or yourself with our in-depth course “How to Design, Build, Deploy, and Manage Directed Chatbots” (available on Udemy).

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About the Instructor

• Teaches 12 Udemy courses for Agile Business Analysis with over 60,000 students enrolled.
• Champions lean and agile methods to meet communication challenges between business and IT communities.
• Maintains an extensive YouTube Channel with over 100 videos for 17K+ subscribers and 1.6M+ views.
• Authored 12 Business Analysis books covering tools and techniques for Agile and traditional software requirements.
• Consultant to a multitude of Fortune 500 companies and governmental agencies.
• Facilitated 100’s of User Story and Requirements Gathering Workshops for multi-million-dollar projects.
• 25+ years’ experience with instructor-led training for tens of thousands of students around the world.
• Coach and mentor for aspiring business analysts.

Enroll now to learn how to prepare for the changes these revolutionary technologies represent.

Who this course is for:

• Anyone involved in eliciting, defining, writing, communicating, analyzing, or understanding requirements for projects that include Data Science, Machine Learning, or Artificial Intelligence components including (but not limited to):
• Business Analysts
• Systems Analysts
• Product Owners
• Product Managers
• Project Managers
• Executives

Course content