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Business Analyst Course in London, UK

4.8 (520 Ratings)

Our Business Analyst course in London is an industry-designed online training to learn the core competencies of Business Analysts such as UML 2.0, Tableau, ML for business, python for data analysis, etc. This online training also includes hands-on projects and real-world case studies.

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

Process Advisors

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*Subject to Terms and Condition

Business Analyst Course Overview

What will you learn in this Business Analyst training in London?

  1. Fundamentals of Business Analysis
  2. Eliciting requirements in a business process
  3. Various competencies of a Business Analyst
  4. Managing and governing of information
  5. Tools and techniques used by a Business Analyst

Business Professionals, Project Managers, Solutions Architects, Developers, and Systems Analysts

There are no prerequisites for taking up this Business Analyst certification in London.

London is rightly the financial and business capital of the world. Due to the sheer number of organizations that are calling this city in the United Kingdom their home, the job market in London is one of the best in the world. Since Business Analysis is a huge part of enterprises in London, there are plenty of opportunities in London that can be taken by professionals with the right training in Business Analysis.

The Business Analyst market in London is extremely vibrant. London is the technology capital of Europe, along with being the financial capital. Many MNCs are based in this city in Britain. All this is adding to the growing trend of the Business Analyst market in this city. Getting trained in Business Analysis can thus help you make the best of this growing market trend in London for Business Analysts.

There is a huge demand for professionals with the qualifications of a Business Analyst. Intellipaat’s Business Analyst training in London is a comprehensive way of learning this domain and getting certified. Upon the completion of the training, you can apply for the best jobs in the industry.

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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

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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
  • Attend as many batches as you want for Lifetime
  • Job Assistance
04 Jun

SAT - SUN

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

10 Jun

SAT - SUN

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

17 Jun

SAT - SUN

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

24 Jun

SAT - SUN

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

$1,316 10% OFF Expires in

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  • Enterprise grade learning management system (LMS)
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Business Analyst Course Curriculum

Live Course Self Paced

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

Preview

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

Module 2 - SQL for Business Analytics

Preview

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 past year to 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, pattern matching concepts).

Tools covered

Tools Covered

3.1 Introduction to MS Excel & 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

Tools covered

Tools Covered

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 & 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, & 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 & 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

Tools covered

Tools Covered

5.1 Introduction to Power BI
5.2 Data Extraction
5.3 Data Transformation – Shaping & Combining Data
5.4 Data Modelling & DAX
5.5 Data Visualization with analytics
5.6 Power BI Service (Cloud), Q&A, and Data Insights
5.7 Power BI Settings, Administration & Direct Connectivity
5.8 Embedded Power BI with API & Power BI
5.9 Power BI Advance & Power BI Premium

Tools covered

Tools Covered

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
  • 3-minute story

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 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

7.3 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

Tools covered

Tools Covered

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

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

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.

11.1 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

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

11.4 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.

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, creating an array using an ND-array, calculating standard deviation on an array of numbers, calculating 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 of SciPy, applying the Bayes theorem on 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 record by a group, applying filter on top, viewing records

Tools covered

Tools Covered Tools Covered Tools Covered Tools Covered Tools Covered

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

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.

Assured Interviews

After 80% of the course completion

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

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 Course Certification

This Business Analyst training in London is designed for clearing Intellipaat’s Business Analyst certification exam. The entire course content is designed by industry professionals for you to get the best jobs in top MNCs. As part of this certification training, 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 course in London, there will be quizzes that perfectly reflect the type of questions asked in the certification exam.

Intellipaat’s course completion certificate will be awarded upon the completion of the project work (after expert 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.

Business Analyst Certification Online Reviews

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Business Analyst Course in London FAQs

Why should I join this Business Analyst course in London at Intellipaat?

Although there are many courses for Business Analyst certification in London out there, our course will give you hands-on experience in mastering the domain of Business Analysis. In this certification course, you will learn both fundamental and advanced Business Analyst roles and responsibilities. This training will equip you with all the skills needed to become a Business Analyst in any industry domain, work on challenging projects, and successfully accomplish all the tasks. You will be awarded Intellipaat’s course completion certificate after successfully completing the training course.

As part of this online Business Analyst course in London, you will be working on real-time Business Analyst projects and step-by-step assignments that have high relevance in the corporate world, and the course curriculum is designed by industry experts. Upon the completion of this online course, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support, and course material upgrading to the latest version at no extra fee. Hence, it is clearly a one-time investment to enroll in this Business Analyst online classroom training.

Intellipaat has been serving Business Analyst enthusiasts from every corner of the country. You can be living in any city in London, be it Belgravia, Blackheath, Finchley, Notting Hill, Fulham, Richmond, Kensington, Chelsea, Streatham, Hammersmith, Crystal Palace or anywhere. You can have 24/7 access to our course sitting at your home or office.

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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