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Business Analyst Course in Houston

87,154 Ratings

This Business Analyst course in Houston is well-designed to cover all the aspects required to make you a certified Business Analyst. UML, RUP methodologies, SWOT, python for data analysis, SQL for business analytics, SDLC, etc., are some of the top concepts that will be taught in this Business Analyst training in Houston.

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Business Analyst Course Training Key Highlights

130 Hrs Instructor Led Training
120 Hrs Self-paced Videos
240 Hrs Project & Exercises
Learn from IIT Faculty & Industry Practitioners
1:1 with Industry Mentors
3 Guaranteed Interviews by Intellipaat
24*7 Support
No Cost EMI Option
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Business Analyst Course in Houston Overview

What will you get to learn as part of this Business Analyst course in Houston?

  • Business Analysis importance
  • Business Analysis introduction
  • The elicitation process
  • Management of information
  • Methods required to gather information 
  • The collaboration process
  • Governance of information
  • Business Analysts’ tools and techniques
  • Adaptability in Business Analysis
  • Strategy analysis and gathering requirements
  • Business Analysts’ competencies
  • Role of a Business Analyst in project teams
  • Information documentation and communication
  • Business Analyst projects

Anyone with the following designations can consider clearing this Business Analyst certification in Houston to upskill themselves:

  • Systems Analysts
  • Solutions Architects
  • Developers
  • Business Professionals
  • Project Managers
  • In Houston, the average salary of Business Analysts is US$87,400 a year – Indeed
  • As a Business Analyst, you can make a smooth transition between industries – ZaranTech
  • Over 410 Business Analyst job openings are listed in Houston, TX – LinkedIn

You don’t need to fulfill any specific criteria or prerequisites to register for this Business Analyst training in Houston.

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Career Transition

55% Average Salary Hike

$1,30,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Skills Covered

SDLC

Agile Business

UML Diagrams

Agile Scrum

Data visualization

SQL

Analytics

Entity Relationship Model

Python

NumPy

SciPy

Machine Learning

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Tools Covered

MS-Visio JIRA-software tableau excel SQL python anaconda numpy Scipy pandas
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Business Analyst Course Fees in Houston

Self Paced Training

  • 120 Hrs e-learning videos
  • 3 Guaranteed Interviews by Intellipaat
  • 24*7 Support

$176

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 130 Hrs of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
31 Mar

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

07 Apr

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

14 Apr

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

21 Apr

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

$1,316 10% OFF Expires in

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Business Analyst Course Curriculum

Live Course Self Paced

Module 1 – Preparatory Sessions – Data Transformation using MS Excel

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MS-Excel –

1.1 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.

1.2 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.

1.3 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
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Module 2 - SQL for Business Analytics

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2.1 SQL Basics – 

  • Fundamentals of structured query language
  • SQL tables, joins, variables

2.2 Advanced SQL – 

  • SQL functions, subqueries, rules, views
  • Nested queries, string functions, pattern matching
  • Mathematical functions, date-time functions, etc.

2.3 Deep Dive into User-defined Functions

  • Types of UDFs, inline table value, multi-statement table.
  • Stored procedures, rank function, SQL ROLLUP, etc.

2.4 SQL Optimization and Performance

  • Record grouping, searching, sorting, etc.
  • Clustered indexes, common table expressions.

Hands-on exercise: 

Writing comparison data between the past year and the present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data,  and identifying the demand in the future using complex subqueries, functions, and pattern-matching concepts.

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3.1 Introduction to MS Excel and data extraction
3.2 Referencing in formulas
3.3 Name range
3.4 Logical functions
3.5 Conditional formatting
3.6 Advanced-level validation
3.7 Important formulas in Excel
3.8 Dynamic table
3.9 Data sorting, filtering
3.10 Chart creation techniques
3.11 Pivot tables in Excel
3.12 Data and file security
3.13 VBA Macros
3.14 Best practices of dashboards visualization
3.15 Creating dashboards
3.16 Creation of interactive components

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4.1 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 and requirement analysis

4.2 Business Analysis Concepts and Knowledge Areas                    

  • Business Analysis core concepts and knowledge areas
  • Planning and monitoring
  • Business Analysis approach and governance
  • Business Analysis information management
  • Elicitation and collaboration

4.3 Requirement Lifecycle Management and Strategy Analysis 

  • Trace, maintain and prioritize requirements
  • Assess requirement changes and approval
  • Analyze current state
  • Define future state
  • Assess risks
  • Define change strategy

4.4 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

4.5 Agile Business Perspectives and Creating UML 

  • Introduction to business Agile perspective
  • Business intelligence perspective
  • Information technology perspective
  • Business architecture perspective
  • Business process management perspective

4.6 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

4.7 Underlying Competencies of a Business Analyst and 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
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5.1 Introduction to Power BI
5.2 Data extraction
5.3 Data transformation – Shaping and combining data
5.4 Data modelling and DAX
5.5 Data visualization with analytics
5.6 Power BI Service (Cloud), Q&A, and data insights
5.7 Power BI settings, administration and direct connectivity
5.8 Embedded Power BI with API and Power BI
5.9 Power BI Advance and Power BI Premium

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6.1 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

6.2 CBDA: Introduction

  • CBDA: Overview
  • What is business data analytics?
  • Eligibility criteria
  • Six business data analytics domains

6.3 Business Analysis and Data Analytics

  • Business Analysis in data analytics projects
  • Comparison between Business Analysis and Data Analytics

6.4 Business Data Analytics Domains: Introduction

Domain 1: Identifying the Research Questions

  • Defining business problems or opportunities
  • Identifying and understanding stakeholders
  • Current state assessment
  • Defining the future state
  • Formulation of research questions
  • Planning the business data analytics approach
  • Selection of techniques for the identification of research questions

Domain 2: Source Data

  • Data collection planning
  • Determination of datasets
  • Data collection
  • Data validation

Domain 3: Data Analysis

  • Developing a data analysis plan
  • Data preparation
  • Data exploration
  • Performing data analysis
  • Assessment of the analytics and system approach

Domain 4: Interpreting and Reporting Results

  • Validating the understanding of stakeholders
  • Planning for stakeholder communication
  • Determining the communication requirements of the stakeholders
  • Deriving insights from data
  • Documentation and communication of findings from the completed analysis
  • Selection of techniques for interpreting and reporting results

Domain 5: Using Results to Influence Business Decision-making

  • Action recommendation
  • Implementation plan development
  • Change management
  • Guiding the organizational-level strategy for business data analytics
  • Organizational strategy
  • Talent strategy
  • Data strategy

6.5 Techniques

  • Business simulation
  • Business visualization
  • Concept modeling
  • Data dictionary, flow diagrams, mapping, and storytelling
  • Decision modeling and analysis
  • Descriptive and inferential statistics
  • Extract, Transform, and Load (ETL)
  • Exploratory data analysis
  • Hypothesis formulation and testing
  • Interface analysis
  • Optimization
  • Problem shaping and reframing
  • Stakeholder list, map, and personas
  • Survey and questionnaire
  • Technical visualizations
  • The big idea
  • Three-minute story
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7.1 Introduction to Agile Scrum 

  • Agile Scrum overview
  • Agile project principles
  • Sprint and Increment in Agile Scrum
  • Scrum theory
  • Other Agile Frameworks

7.2 Scrum Team, Artifacts, and Events

  • Scrum team and Scrum Master
  • Scrum roles
  • Scrum flow
  • Scrum artifacts: product backlog
  • Artifacts transparency
  • Scrum events: sprint planning and retrospective
  • Agile estimating, planning, monitoring, and control

7.3 Project Management Using Jira 

  • Introduction to project management in Jira
  • Jira issue types
  • Scrum and Kanban boards
  • Customizing board settings
  • Release and backlog management
  • Jira reports
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8.1 Class diagram
8.2 Component diagram
8.3 Composite structure diagram
8.4 Deployment diagram
8.5 Object diagram
8.6 Package diagram
8.7 Profile diagram
8.8 Activity diagram
8.9 State machine diagram
8.10 Use case diagram
8.11 Communication diagram
8.12 Interaction overview diagram
8.13 Sequence diagram
8.14 Timing diagram

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9.1 Communication skills
9.2 Leadership skills
9.3 Problem-solving skills
9.4 Business knowledge
9.5 IT knowledge

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You will be working on multiple projects in different domains like retail, finance, and banking, and you will learn how machine learning is used to solve today’s world problems.

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11.1 Python Environment Setup and Essentials

  • Introduction to Python
  • Features
  • Python installation – Windows, Mac and Linux distribution for Anaconda Python
  • Deploying Python IDE
  • Basic Python commands, data types, variables, keywords, etc.

Hands-on Exercise

Installing Python Anaconda for Windows, Linux, and Mac

11.2 Python language Basic Constructs

  • Built-in data types in Python
  • Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
  • Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
  • Loop and control statements

Hands-on Exercise

Write your first Python program, Write a Python function (with and without parameters), use Lambda expression, write a class, create a member function and a variable, create an object, write a for loop

11.3 OOP Concepts in Python

  • Write OOP concepts program in Python
  • Connecting to a database
  • Classes and objects in Python
  • OOPs paradigm
  • Python functions, return types, and parameters
  • Lambda expressions

Hands-on Exercise

Creating an application that helps to check balances, deposit money, and withdraw money using the concepts of OOPS.

11.4 Database Connection

  • Database and need for database
  • Installing MySQL on Windows
  • Database connection using Python

Hands-on Exercise

Demo of a database connection using Python and pulling the data.

11.5 NumPy for Mathematical Computing

  • Arrays and matrices
  • Broadcasting of array math
  • Indexing of the array
  • Standard deviation, conditional probability, correlation, and covariance

Hands-on Exercise

How to import the NumPy module, create an array using an ND-array, calculate the standard deviation on an array of numbers, and calculate the correlation between two variables.

11.6 SciPy for Scientific Computing

  • Introduction to SciPy
  • Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages,
  • SciPy with Bayes Theorem

Hands-on Exercise

Importing SciPy and applying the Bayes theorem to the given dataset

11.7 Matplotlib for Data Visualization

  • How to plot graph and chart with Python
  • Various aspects of line, scatter, bar, histogram, 3D, the API of Matplotlib, subplots

Hands-on Exercise

Deploying MatPlotLib for creating Pie, Scatter, Line, Histogram

11.8 Pandas for Data Analysis and Machine Learning

  • Introduction to Python data frames
  • Importing data from JSON, CSV, Excel, SQL database, NumPy array to data frame
  • Various data operations

Hands-on Exercise 

Working on importing data from JSON files, selecting records by group, applying a filter on top, and viewing records.

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Substantiate your learning experience and Business Analysis skills via this practical, industry-based capstone project based on our course and showcase your skills in the fields of product management and Business Analysis.

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Business Analyst Projects

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends — the possibilities are endless and our community has something for everyone!

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Career Services

Career Services

Career Oriented Sessions

Throughout the course

Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.

Resume & LinkedIn Profile Building

After 70% of course completion

Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage

Mock Interview Preparation

After 80% of the course completion.

Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.

1 on 1 Career Mentoring Sessions

After 90% of the course completion

Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.

Placement Assistance

Upon movement to the Placement Pool

Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT).

Exclusive access to Intellipaat Job portal

After 80% of the course completion

Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

Business Analyst Certification in Houston

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This Business Analyst training in Houston is designed for clearing Intellipaat’s Business Analyst certification exam. It is framed by industry professionals for you to land the best jobs in top MNCs. As part of this certification course, you will be working on real-time projects and assignments that have immense implications in real-world industry scenarios, thus helping you fast-track your career effortlessly.

At the end of this course, there will be quizzes that perfectly reflect the type of questions asked in the Business Analyst certification exam and help you score better.

Intellipaat’s Business Analyst certification will be awarded upon the completion of the project work (after review) and scoring at least 60 percent marks in the quiz. This certification is well-recognized by top 80+ MNCs, such as Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.

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Business Analyst Training in Houston FAQs

Why should I enroll in Business Analyst course in Houston provided by Intellipaat?

These Business Analyst classes in Houston will help you acquire all the crucial skill sets in the Business Analysis domain. You will be trained to understand and execute the roles and responsibilities of a Business Analyst. You will get to work on real-time projects and relevant case studies to strengthen your practical skills across various industry verticals. Once you successfully complete your course, you will receive Intellipaat’s Business Analyst certification online.

After this Business Analyst course, you will be able to apply at the best international companies and aim for high annual compensation. You can also benefit immensely from our 24/7 learning support, lifetime access to videos, course materials, and upgrades to the latest version without extra expense. Our Business Analyst certification in Houston is indeed a one-time investment.

Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have successfully completed the training and moved to the placement pool after clearing the PRT( Placement Readiness Test) More than 500+ top MNC’s and startups hire Intellipaat learners. Our Alumni works with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

Apparently, no. Our job assistance is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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