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Business Analyst Course in Mountain View

4.8 (520 Ratings)

The Business Analyst course in Mountain View is carefully curated by our experts to include all crucial Business Analysis topics, such as SWOT, CATWOE, UML, SQL for business analytics, SDLC, etc. After the completion of the Business Analyst training in Mountain View and all the projects, you will be certified as a Business Analyst.

SQL Developer Course

Key Highlights

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

Business Analyst Course Overview

What will you be taught during this Business Analyst training in Mountain View?

  • Business Analysis: Introduction
  • Strategy analysis and gathering requirements
  • Methods needed to gather information
  • Management of information
  • The elicitation process
  • A Business Analyst’s tools and techniques
  • Adaptability in Business Analysis
  • Governance of information
  • Information documentation and communication
  • A Business Analyst’s competencies and role in project teams
  • The collaboration process

Relevant case studies are also included in the Business Analyst course curriculum.

Any professional in Mountain View with prior experience in the following roles can join this Business Analyst training in Mountain View:

  • Developers
  • Business Professionals
  • Solutions Architects
  • Systems Analysts
  • Project Managers
  • In California, the average salary of a Business Analyst is US$90,000/year – Indeed
  • Over 400 jobs are open in Mountain View for Business Analysts alone – Indeed
  • As a Business Analyst, you can make a smooth transition between industries – ZaranTech

You don’t require any prior skills for joining this Business Analyst course in Mountain View.

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Career Transition

55% Average Salary Hike

$1,30,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

Meet Your Mentors

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

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Course Fees

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
  • Attended as many batches as you want for Lifetime
  • Job Assistance
26 Dec

SAT - SUN

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

01 Jan

SAT - SUN

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

08 Jan

SAT - SUN

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

$1,316 10% OFF Expires in

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  • Customized Learning
  • Enterprise grade learning management system (LMS)
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  • Enterprise grade reporting

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Business Analyst Course Curriculum

Live Course Self Paced

Module 1 - Certified Business Analysis Professional (CBAP®)

Preview

1.1 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

1.2 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

1.3 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

1.4 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

1.5 Agile Business Perspectives and Creating UML 

  • Introduction to business Agile perspective
  • Business Intelligence perspective
  • Information Technology perspective
  • Business architecture perspective
  • Business Process Management perspective

1.6 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

1.7 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 2 - IIBA Certification in Business Data Analytics (CBDA)

Preview

2.1 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

2.2 CBDA: Introduction

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

2.3 Business Analysis and Data Analytics

  • Business analysis in data analytics projects
  • Comparison between business analysis and data analytics

2.4 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

2.5 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
  • 3-minute story

3.1 Introduction to Agile Scrum 

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

3.2 Scrum Team and 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

3.3 Project Management Using Jira 

  • Introduction to Project Management in Jira
  • Jira issue types
  • Scrum & Kanban boards
  • Customizing board settings
  • Release and backlog management
  • Jira reports

4.1 Class diagram
4.2 Component diagram
4.3 Composite structure diagram
4.4 Deployment diagram
4.5 Object diagram
4.6 Package diagram
4.7 Profile diagram
4.8 Activity diagram
4.9 State machine diagram
4.10 Use case diagram
4.11 Communication diagram
4.12 Interaction overview diagram
4.13 Sequence diagram
4.14 Timing diagram

5.1 Communication skills
5.2 Leadership skills
5.3 Problem-solving skills
5.4 Business knowledge
5.5 IT knowledge

6.1 Introduction to Data Visualization and Power of Tableau

  • What is data visualization?
  • Comparison and benefits against reading raw numbers
  • Real use cases from various business domains
  • Examples using Tableau
  • Installing Tableau, Tableau interface, connecting to DataSource, Tableau data types
  • Data preparation

6.2 Architecture of Tableau

  • Installation of Tableau Desktop
  • Architecture of Tableau
  • Tableau interface
  • How to start with Tableau
  • The ways to share and export the work done in Tableau

Hands-on Exercise:

Play with Tableau desktop, learn about the interface, share and export existing works

6.3 Working with Metadata and Data Blending

  • Connection to Excel
  • Cubes and PDFs
  • Management of metadata and extracts
  • Data preparation
  • Joins and Union

Hands-on Exercise:

Connect to Excel sheet to import data, use metadata and extracts, manage NULL values, clean up data before using, perform the join techniques, execute data blending from multiple sources

6.4 Creation of Sets

  • Mark, highlight, sort, group, and use sets 
  • Constant sets
  • Computed sets, bins, etc.

Hands-on Exercise:

Use marks to create and edit sets, highlight the desired items, make groups, apply to sort on results, make hierarchies among the created sets

6.5 Working with Filters

  • Filters 
  • Filtering continuous dates, dimensions, and measures
  • Interactive filters, marks card, and hierarchies
  • How to create folders in Tableau
  • Sorting in Tableau, types of sorting, filtering in Tableau, Types of filters
  • Filtering the order of operations

Hands-on Exercise:

Use the data set by date/dimensions/measures to add a filter, Use an interactive filter to view the data, Customize/remove filters to view the result

6.6 Organizing Data and Visual Analytics

  • Using formatting pane 
  • Formatting data using labels and tooltips
  • Edit axes and annotations
  • K-means cluster analysis
  • Trend and reference lines
  • Visual analytics in Tableau

Hands-on Exercise:

Apply labels and tooltips to graphs, annotations, edit axes’ attributes, set the reference line, perform k-means cluster analysis on the given dataset

6.7 Working with Mapping

  • Working on coordinate points
  • Plotting longitude and latitude
  • Editing unrecognized locations
  • Customizing geocoding, polygon maps, WMS: web mapping services
  • Working on the background image, including add image
  • Plotting points on images and generating coordinates from them
  • Map visualization, custom territories, map box, WMS map
  • Create map projects in Tableau
  • Creating dual axes maps, and editing locations

Hands-on Exercise:

Plot longitude and latitude on a geo map, edit locations on the geo map, custom geocoding, use images of the map and plot points, find coordinates, create a polygon map, use WMS

6.8 Working with Calculations and Expressions

  • Calculation syntax and functions in Tableau
  • Various types of calculations
  • LOD expressions, including concept and syntax
  • Aggregation and replication with LOD expressions
  • Nested LOD expressions
  • Levels of details
  • Quick table calculations
  • The creation of calculated fields
  • Predefined calculations
  • How to validate

6.9 Working with Parameters

  • Creating parameters
  • Parameters in calculations
  • Using parameters with filters
  • Column selection parameters
  • Chart selection parameters
  • Parameters in the filter session
  • Parameters in calculated fields
  • Parameters in the reference line

Hands-on Exercise:

Creating new parameters to apply on a filter, passing parameters to filters to select columns, passing parameters to filters to select charts

6.10 Charts and Graphs

  • Dual axes graph
  • Histograms, single and dual axes, box plot
  • Charts
  • Maps
  • Market basket analysis (MBA)
  • Using show me, text table, and highlighted table

Hands-on Exercise:

Plot a histogram, tree map, heat map, funnel chart, and more using the given dataset, perform market basket analysis (MBA) on the same dataset

6.11 Dashboards and Stories

  • What is a dashboard?
  • Building and formatting a dashboard 
  • Best practices for making dashboards 
  • Creating stories
  • Adding annotations 
  • Tableau joins, Types of joins, Tableau field types
  • Saving as well as a publishing data source

Hands-on Exercise:

Create a Tableau dashboard view, include legends, objects, and filters, make the dashboard interactive, use visual effects, annotations, and descriptions to create and edit a story

6.12 Tableau Prep

  • Introduction to Tableau Prep
  • Getting deeper insights into the data with visualizations
  • Making data preparation simpler and accessible
  • Integrating Tableau Prep with Tableau analytical workflow
  • Data preparation to analysis with Tableau Prep

7.1 Introduction to MS Excel & Data Extraction
7.2 Referencing in formulas
7.3 Name range
7.4 Logical functions
7.5 Conditional formatting
7.6 Advanced-level validation
7.7 Important formulas in Excel
7.8 Dynamic table
7.9 Data sorting, filtering
7.10 Chart creation techniques
7.11 Pivot tables in Excel
7.12 Data and file security
7.13 VBA Macros
7.14 Best practices of dashboards visualization
7.15 Creating dashboards
7.16 Creation of interactive components

8.1 Introduction to SQL

  • Various types of databases
  • Structured Query Language
  • Distinction between client-server and file server databases
  • Understanding SQL Server Management Studio
  • SQL Table basics
  • Data types and functions
  • Transaction-SQL
  • Authentication for Windows
  • Data control language
  • Identification of keywords in T-SQL

8.2 Database Normalization and Entity Relationship Model

  • Data anomalies
  • What is normalization?
  • Types of normalization forms
  • Entity-relationship model

8.3 SQL Operators

  • Introduction to relational databases
  • Fundamental concepts of relational rows, tables, and columns
  • Several operators (such as logical and relational), constraints, domains, indexes, stored procedures, primary and foreign keys
  • Understanding group functions, the unique key

8.4 Working with SQL: Join, Tables, and Variables

  • Advanced concepts of SQL tables
  • SQL functions
  • Operators & queries
  • Table creation
  • Data retrieval from tables
  • Combining rows from tables 
  • Deploying operators 
  • Temporary table creation
  • Set operator rules
  • Table variables

8.5 Deep Dive into SQL Functions

  • SQL functions 
  • Scalar and aggregate functions
  • Inline SQL functions
  • General and duplicate functions

8.6 Working with Subqueries

  • SQL subqueries and rules
  • Statements and operators with which subqueries can be used
  • Modify subqueries
  • Types of subqueries
  • Methods to create and view subqueries

8.7 SQL Views, Functions, and Stored Procedures

  • Learning SQL views
  • Methods of working with views
  • Stored procedures and their key benefits

You will be working on multiple projects on different domains like retail, finance, banking and learn how Machine Learning is used to solve todays world problems.

10.1 Python Environment Setup and Essentials

  • Introduction to Python 
  • Features
  • Python installation – Windows, Mac & 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

10.2 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

10.3 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 balance, deposit money and withdraw the money using the concepts of OOPS.

10.4 Database Connection

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

Hands-on Exercise

Demo on Database Connection using python and pulling the data.

10.5 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, creating an array using an ND-array, calculating standard deviation on an array of numbers, calculating correlation between two variables.

10.6 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 of SciPy, applying the Bayes theorem on the given dataset

10.7 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

10.8 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 record by a group, applying filter on top, viewing records

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 field 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
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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.

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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

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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.

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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.

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Assured Interviews

After 80% of the course completion

Assured Interviews upon submission of projects and assignments. Get interviewed by our 500+ hiring partners.

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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

This Business Analyst training in Mountain View is designed for clearing Intellipaat’s Business Analyst certification exam. It is developed by our industry professionals for you to get the best jobs in top MNCs. As part of this Business Analyst certification in Mountain View, 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 Business Analyst certification online, 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 Business Analyst certification is well-recognized among top 80+ MNCs, such as Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.

Business Analyst Course in Mountain View Reviews

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Business Analyst Training in Mountain View FAQs

Why should I learn Business Analysis from Intellipaat?

Through our Business Analyst classes in Mountain View, you will get to master the Business Analysis domain holistically in a hands-on learning environment. All fundamental and advanced Business Analyst skills, roles, and responsibilities will be included in the Business Analyst certification course. Projects that are applicable across industry verticals will be a great way to challenge your knowledge. Once the Business Analyst certification course is over, you will receive Intellipaat’s Business Analyst certification online.

The Business Analyst training will help you apply for jobs at MNCs to further your career successfully. We will provide 24/7 learning support, lifetime access to videos, and course material upgrades to the latest version at no extra fee. Thus, our Business Analyst certification in Mountain View is a one-time investment.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

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 is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program 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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