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IIT-Roorkee-IIBA

Business Analyst Course in London, UK

91,233 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.

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Business Analyst Training in London 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 London 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

12+ Skills Covered

SDLC

Agile Business

UML Diagrams

Data Visualization

SQL

Entity Relationship Model

Python

NumPy

SciPy

Machine Learning

Generative AI

Microsoft Excel

Problem-Solving

Leadership

PowerBI

Jira

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10+ Tools Covered

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

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 Instructor-led Training of Instructor-led Training
  • One-to-one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
Weekend (Sat-Sun)

23 Nov 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

30 Nov 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

07 Dec 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

14 Dec 2024 08:00 PM - 11:00 PM
$1,667 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Business Analyst Course Curriculum

Live Course Self-Paced Industry Expert

Business Analyst Essential - Microsoft Excel

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  • Learn the fundamental concepts of Excel, such as named ranges, logical functions, conditional formatting, data validation, sorting, and filtering.
  • Understand how to manipulate data, handle missing values, clean data and work with tables.
  • Create charts such as bar, pie, column, line, and bubble charts to create interactive visualisations.
  • Implement best practices using pivot tables, pivot charts, macros and different formulae auditing tools.
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Tools covered

excel
  • Learn the basics of SQL, such as tables and commands, such as DDL, DML, DQL, and DCL.
  • Understand the working of different types of joins, data time functions, string functions etc.
  • Deep dive into advanced SQL – Subqueries, Rules, Views, pattern matching, UDFs, stored procedures, RANK(), DENSERANK(), PARTITION(), Window functions, CTEs etc.
  • Learn best practices, such as indexing, clustered indexing, searching, record grouping, etc., to improve the database’s overall performance.
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Tools covered

SQL
  • Get started with PowerBI and understand data modelling, visualisation and analytics.
  • Learn about Data Analysis Expressions (DAX) to create custom metrics and Power Query Editor to perform advanced data transformation.
  • Learn about different connectors for ingesting data from outsourced databases like Azure SQL.
  • Create interactive dashboards and reports to visualise your data and chalk out better inferences or conclusions.
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Tools covered

Power-BI-1
  • Get introduced to business analysis and understand the role of a business analyst and its governing body, i.e. IIBA.
  • Understand core concepts such as SDLC, requirement analysis, BABOK, UML, agile methodologies, and flowcharts.
  • Analyse different strategies and manage the requirements life cycle to understand the status and assess risk.
  • Evaluate different solution’s performance according to model requirements and carve out a feasible solution.
  • Use Microsoft Visio for creating UML diagrams.
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Tools covered

MS-Visio
  • Get started with CBDA, eligibility criteria and the six business data analytics domains.
  • Get introduced to data science and analytics, its use cases, lifecycle, and types, along with an overview of AI and machine learning.
  • Implement techniques such as decision modelling, interface analysis, EDA, stakeholder analysis, visualisations, hypothesis formulation, etc.
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  • Get started with an overview of agile principles such as sprint, scrum, town hall, etc. Compare and contrast agile with other frameworks and choose one that is suitable.
  • Learn about different scrum roles, flows, artifacts, and events to plan, monitor and control the overall lifecycle.
  • Create reports, scrums, and Kanban boards using Jira. Understand different Jira issue types, story points, and backlog management.
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Tools covered

JIRA-software
  • Understand Unified Modeling Language (UML), a standard way to create designs, sketches and models.
  • Deep dive into the different diagrams, such as class diagrams, component diagrams, deployment diagrams, object diagrams, and sequence diagrams.
  • Use Microsoft Visio to create diagrams such as package diagrams, profile diagrams, activity diagrams, state machine diagrams, use case diagrams, sequence diagrams, and timing diagrams.
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  • Working with stakeholders and managing directors requires good communication and leadership skills to convey the analysis.
  • Analyse some case studies from the industry to strengthen your problem-solving and business skills.
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  • Get started with the basics of Python, including variables, operators, data types, functions, conditional statements, and looping statements.
  • Implement object-oriented programming(OOPs) and understand the concepts of class and objects.
  • Learn Python packages such as pandas, SciPy, Matplotlib and Numpy to manipulate data and create interactive visualisation.
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Tools covered

python anaconda Scipy matplotlib pandas
  • Get started with descriptive statistics involving mean, median, mode, spread, five-point summary, etc.
  • Learn about inferential statistics concepts such as F-test, Z-test, correlation, ANOVA, chi-square test, etc.
  • Understand the probability of events using probability distribution, central limit theorem and Bayes’s theorem.
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  • Understand the basics of machine learning concepts, such as how a model is trained and evaluated.
  • Learn about the different types of machine learning algorithms, such as supervised, unsupervised, semi-supervised, and reinforcement learning.
  • Implement machine learning algorithms, such as random forest, decision tree, SVM, linear regression, logistic regression, and KNN.
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  • Learn how to use Generative AI and concepts such as transformers and LLMs in business analysis.
  • Understand how to write effective prompts and give proper context to ChatGPT for desired results.
  • Learn principles to write effective prompts and put them in a feedback loop to get better results.
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Substantiate your learning experience and Business Analytics skills via this practical, industry-based capstone project based on our course and showcase your skills in Business Analysis.

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  • Get started by creating an ATS-friendly resume and defining a job search strategy to land your dream job.
  • Create a LinkedIn profile to increase your visibility in the market.
  • Schedule mock interviews with industry experts to familiarise yourself with the types of questions asked in the interviews.
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Business Analyst Projects

Career Services

Career Services
guaranteed
Placement Assistance
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Exclusive access to Intellipaat Job portal
Mock Interview Preparation
1 on 1 Career Mentoring Sessions
resume
Career Oriented Sessions
linkedin
Resume & LinkedIn Profile Building
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Business Analyst Course Certification in London

Business-Analyst-Certification-Course_Certificate Click to Zoom

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.

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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.

Apart from the Business Analyst in London, we offer specialized programs such as R Certification, Machine Learning, Data Analytics, Python for Data Science, Python, Artificial Intelligence, and various practical-based training.

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