Business Analyst Course

Our Business Analyst course in collaboration with E&ICT MNIT JAIPUR (Malaviya National Institute of Technology, Jaipur) is taught by MNIT faculty and industry experts. Learn concepts of Business Analysts such as UML, Tableau, ML for business, python for data analysis, etc. through this Business Analyst certification training.

The primary goal of this quick start guide is to introduce you to Unreal Engine 4`s (UE4) development environment. By the end of this guide, you`ll know how to set up and develop C++ Projects in UE4. This guide shows you how to create a new Unreal Engine project, add a new C++ class to it, compile the project, and add an instance of a new class to your level. By the time you reach the end of this guide, you`ll be able to see your programmed Actor floating above a table in the level.

This quick start guide shows you how to add assets to your Unreal Engine (UE4) games. By the end of this guide, you`ll know how to use the Project Browser to create new projects and navigate the Content Browser to find and add content. You`ll also know where to find information on the FBX Content Pipeline while learning how to use the Material Editor to modify Materials before applying them to a Static Mesh Actor.

Main Features

  • Achieve Hollywood best quality visuals out of the box.
  • With complete C++ source code access, you can study.
  • Comes with designer-friendly Blueprint visual scripting.
  • Unreal Engine provides Robust Multiplayer Framework.
  • The built-in Cascade visual effects editor enables particles.
  • Unreal Engine 4`s Material Editor makes use of physically.

What is the target audience?

  • You might be thinking, all of the above – and that is fine. But as a complete beginner learning Unreal Engine 4.
  • The rendering system in Unreal Engine 4 is an all-new, DirectX 11 pipeline that includes deferred shading.

Learning a new game engine as a complete beginner is very intimidating. There are a lot of tutorials, documentation and advice already out but how do you start and proceed with learning Unreal Engine 4 is unclear. You get pulled into many different directions and end up confused and overwhelmed.

I have spent a lot of time deconstructing what it takes to learn a game engine from scratch. What it is that you should focus on first and what you should avoid until later.

Module 1 – Preparatory Sessions – Data Transformation using Ms. Excel & Python

1
Python
  • Introduction to Python and IDEs – The basics of the python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc.
  • Python Basics – Variables, Data Types, Loops, Conditional Statements, Functions, decorators, lambda functions, file handling, exception handling, etc.
  • Object-Oriented Programming – Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.
  • Hands-on Sessions And Assignments for Practice – The culmination of all the above concepts with real-world problem statements for better understanding.
2
1. Excel Fundamentals
  • Reading the Data, Referencing in formulas , Name Range, Logical Functions, Conditional Formatting, Advanced Validation, Dynamic Tables in Excel, Sorting and Filtering
  • Working with Charts in Excel, Pivot Table, Dashboards, Data And File Security
  • VBA Macros, Ranges and Worksheet in VBA
  • IF conditions, loops, Debugging, etc.
3
2. Excel For Data Analytics
  • Handling Text Data, Splitting, combining, data imputation on text data, Working with Dates in Excel, Data Conversion, Handling Missing Values, Data Cleaning, Working with Tables in Excel, etc.


4
3. Data Visualization with Excel
  • Charts, Pie charts, Scatter and bubble charts
  • Bar charts, Column charts, Line charts, Maps
  • Multiples: A set of charts with the same axes, Matrices, Cards, Tiles


Module 2 - Certified Business Analysis Professional (CBAP®)

1
2.1 Introduction to Business Analysis
  • Business Analysis overview
  • Who is a Business Analyst?
  • Introduction to governance body (IIBA)
  • Business Analysis body of knowledge
  • Knowledge areas of BABOK
  • SDLC & requirement analysis
2
2.2 Business Analysis Concepts and Knowledge Areas
  • Business Analysis overview
  • Who is a Business Analyst?
  • Introduction to governance body (IIBA)
  • Business Analysis body of knowledge
  • Knowledge areas of BABOK
  • SDLC & requirement analysis


3
2.3 Requirement Lifecycle Management and Strategy Analysis
  • Trace, maintain, & prioritize requirements
  • Assess requirement changes and approval
  • Analyze current state
  • Define future state
  • Assess risks
  • Define change strategy


4
2.4 Requirement Analysis, Design Definition, Model Requirements, and Solution Evaluation
  • Specify model requirements
  • Verify and validate requirements
  • Define requirement architecture and design options
  • Measure and analyze solution performance
  • Assess solution and enterprise limitations
  • Recommend actions to increase solution values
  • Data model, UI model, user stories


5
2.5 Agile Business Perspectives and Creating UML
  • Introduction to business Agile perspective
  • Business Intelligence perspective
  • Information Technology perspective
  • Business architecture perspective
  • Business Process Management perspective


6
2.6 Understand BA Role on the Agile Team
  • Write effective user stories and acceptance criteria
  • Develop backlogs into great products
  • BA role in new age Business Analysis


7
2.7 Underlying Competencies of a Business Analyst & Microsoft Visio
  • Business Analyst underlying competencies
  • BA Skills
  • Soft skills, leadership and personal development
  • UML diagrams using Microsoft Visio
  • Types of flowcharts, cross-functional flowcharts


Module 3 - IIBA Certification in Business Data Analytics (CBDA)

1
3.1 Data Science and Analytics Fundamentals
  • Introduction to data science and analytics
  • Use cases in data science and analytics
  • Data science life cycle
  • Data Analytics: Types
  • AI and Machine Learning: Overview


2
3.2 CBDA: Introduction
  • CBDA: Overview
  • What is Business Data Analytics?
  • Eligibility criteria
  • Six Business Data Analytics domains


3
3.3 Business Analysis and Data Analytics
  • Business analysis in data analytics projects
  • Comparison between business analysis and data analytics


4
3.4 Business Data Analytics Domains: Introduction
5
Domain 1: Identifying the Research Questions
6
Domain 2: Source Data
7
Domain 3: Data Analysis
8
Domain 4: Interpreting and Reporting Results
9
Domain 5: Using Results to Influence Business Decision-making
10
3.5 Techniques

Module 4 - Agile Methodologies for Project Management

Module 5 - UML 2.0

Module 6 - Career Essentials

Module 7 - Data Visualization using Tableau

Module 8 - Mastering MS Excel for Business Analysis

Module 9 - SQL for Business Analytics

Module 10 - Machine Learning for Business

Module 11 - Data Analysis with Python

Module 12 - Capstone Project

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Productivity Hacks to Get More Done in 2018

— 28 February 2017

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  3. Habitica (free mobile + web app) Gamify your to do list. Treat your life like a game and earn gold goins for getting stuff done!


30-Day Money-Back Guarantee

Includes

9 hours
Full lifetime access
Access on mobile and TV