Overview of Data Analytics Course in London
Data analytics is a critical process that involves examining raw data to extract insights and make informed decisions. Data analytics professionals can greatly assist businesses by optimising performance, increasing efficiency, maximising profits, and helping them make better decisions. If you're looking to enhance your skills in this field, Edoxi's Data Analytics course in London is the perfect opportunity.
EDOXI’s comprehensive training program spans 60 hours and covers fundamental theories, analytics techniques, and visualisation methods. By enrolling in our course, you'll gain a deep understanding of how to gather, assess, and utilise data from various sources. We will also equip you with the necessary expertise in programming languages like Python and advanced statistical tools that are essential for effective data analytics. At Edoxi, our expert trainers will guide you through the course material and ensure you meet the requirements for job advancement. Upon completion of the course, you will receive a course completion certificate which will validate your newly acquired skills.
With our Data Analytics Training, you will master the skills necessary to excel as a data analyst and unlock exciting career opportunities. Don't miss out on this excellent opportunity to enhance your professional prospects. Enrol in our Data Analytics course today and take your first step towards a successful career in this high-demand field.
Benefits of Data Analytics Course in London
- Accelerate Your Professional Growth: Our Data Analytics training fosters your career advancement and fuels your professional journey.
- Gain Competitive Advantage: Acquiring Data Analytics Certification sets you apart in the competitive job market, giving you a distinct edge.
- Expand Your Global Opportunities: With Data Analytics expertise, you unlock opportunities to work across the globe, transcending geographical boundaries.
- Stay Ahead of the Latest Trends: Our seasoned trainers deliver cutting-edge knowledge and skills in Data Analytics, ensuring you stay ahead with the latest industry trends.
- High-Income Career Pathways: With Data Analytics proficiency, you gain access to high-paying job roles and enjoy job security in your career trajectory.
- Learn to make Informed Decisions: You'll learn how to extract valuable insights from complex datasets, identify patterns and trends and make data-driven decisions.
Top Data Analytics Course in London
Mentioned below are the in-demand Data Analytics Courses in London,
| DATA ANALYTICS COURSES | CORPORATE DAYS | DURATION | CERTIFICATION BODY | MODES OF TRAINING |
|
Data Analytics Using MS Power BI
|
2 Days | 14 hours | Edoxi | Online |
|
Data Analytics Using Tableau
|
2 Days | 14 hours | Edoxi | Online |
|
Data Analytics with MS Excel
|
2 Days | 14 hours | Edoxi | Online |
|
Data Analytics using AlterYX
|
2 Days | 14 hours | Edoxi | Online |
|
Data Analytics Using Python
|
2 Days | 14 hours | Edoxi | Online |
| Data Analytics using R Programming | 2 Days | 14 hours | Edoxi | Online |
Data Analytics Course Features
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Classroom and Online Training
We offer both online and classroom training sessions so that you can choose the most comfortable mode of training.
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60 Hours of Extensive Training
Participants will receive 20% theoretical and 80% practical learning in a 60-hour-long course. The duration of each session will be 2-3 hours.
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Interactive Learning Opportunity
Our highly interactive training methodology offers an engaging and stimulating learning experience.
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Hands-on Practice Sessions
We offer hands-on training sessions that give learners valuable exposure to Data Analytics tools.
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Course Completion Certification
Our training aligns with the latest industrial standards and after the course completion, you will receive EDOXI’s course completion certification.
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Customisation Option
We offer customised training options to participants that help them choose timing based on their convenience.
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Comprehensive Teaching
Designed for beginners and professionals, our comprehensive course covers data analytics fundamentals from basics to advanced levels.
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Industry-experienced Data Analytics Trainers
Participants will get valuable opportunities to attend productive sessions by Microsoft Azure-certified trainers and data scientists with more than 10 years of experience.
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Real-world Case Studies and Projects
Participants can engage in real-world data analysis projects and case studies. You will get the opportunity to develop up to 10-15 projects, that will enhance your portfolio.
Industries Looking for Data Analytics Professionals
Software/IT
Media & Entertainment
Retail
Health Care
Telecommunications.
Automotive.
Digital Marketing
Professional Services
Prerequisites For Joining the Data Analytics Course
- Candidates should have a basic knowledge of Mathematics and Statistics.
- Candidates who have a minimum qualification of 12th year can enrol in the course.
Data Analytics Course Modules
- Module 1: Introduction to Data Analysis and Visualisation
- Introduction to Data Analysis and Visualization
- Discuss the significance of data analysis and visualisation in modern business and research.
- Explore the types of data (structured vs unstructured) and common data formats.
- Introduce SQL as a tool for data retrieval, Power BI for analytics, and Tableau for visualisation.
- Explain the principles of effective visualisation and common visualisation types.
- Explore the role of data visualisation in storytelling and decision-making.
- Engage in a Q&A session to address initial questions and expectations.
- Introduction to SQL
- Introduce relational databases and their importance in data storage and retrieval.
- Dive into SQL syntax, focusing on the SELECT statement to retrieve data.
- Learn to filter data using WHERE clauses, including conditional operators and wildcards.
- Introduce the concepts of sorting data with ORDER BY and limiting results with LIMIT.
- Explore the importance of data types and functions in SQL queries.
- Conduct hands-on exercises to apply basic SQL commands on sample datasets.
- Intermediate SQL
- Introduce JOIN operations to combine rows from two or more tables.
- Learn to aggregate data using GROUP BY and summarize it with aggregate functions (e.g., COUNT, SUM).
- Filter aggregated data using the HAVING clause for more precise analysis.
- Explore the concept and application of subqueries in data analysis.
- Discuss the importance of indexing in databases for query optimization.
- Engage in hands-on SQL exercises focusing on JOINs and aggregate functions.
- Advanced SQL and Application
- Explore real-world SQL challenges, focusing on data cleaning and normalization.
- Learn about common table expressions (CTEs) for complex queries.
- Discuss the integration of SQL queries with analytics and visualization tools.
- Explore performance optimization techniques for SQL queries, including indexing and query planning.
- Provide feedback and discussion on the mini-project outcomes and learning points.
- Module 2: Tableau Deep Dive
- Tableau Basics
- Introduction to Tableau Desktop, including installation and configuration.
- Overview of connecting to various data sources and data types supported by Tableau.
- Explore the Tableau workspace, including navigation and toolbars.
- Introduction to data preparation techniques in Tableau, such as data cleaning.
- Sorting, filtering and grouping data in Tableau.,
Learn the basics of creating visualisations: bar charts, line graphs, and pie charts. - Discuss best practices for data visualisation and common visualisation mistakes.
- Conduct a hands-on session to create simple dashboards.
- Building Visualizations in Tableau
- Advanced visualisation techniques: scatter plots, heat maps, and tree maps.
- Learn about creating calculated fields and parameters for dynamic visualisations.
- Explore Tableau’s drag-and-drop interface for building complex visualisations.
- Discuss the principles of dashboard design for clarity and impact.
- Engage in a workshop to design and build a comprehensive dashboard.
- Provide group feedback on dashboard projects, focusing on design and usability.
- Explore publishing options in Tableau for sharing visualisations with stakeholders.
- Advanced Tableau Techniques
- Deep dive into designing interactive dashboards with filters, actions, and parameters.
- Introduction to storytelling with data in Tableau to create compelling narratives.
- Explore advanced dashboard techniques including the use of animations and dynamic
elements. - Discuss strategies for optimising dashboard performance and user experience.
- A hands-on session to develop an interactive, data-driven story in Tableau.
- Review best practices for publishing and sharing
- Tableau reports and dashboards.
- Module 3: Power BI Deep Dive
- Power BI Basics
- Overview of Power BI ecosystem: Desktop, Service, and Mobile Apps.
- Detailed guide on importing data from various sources into Power BI Desktop.
- Introduction to data transformations and cleaning using Power Query Editor.
- Basics of data modelling and relationships in Power BI.
- Learning to use DAX for creating basic calculated columns and measures.
- Building your first Power BI report: selecting visuals, configuring fields, and formatting.
- Best practices for report design: layout, colour theory, and accessibility.
- Interactive Q&A session to explore specific user questions and challenges.
- Visualisations and Reporting in Power BI
- Utilising Power BI’s interactive elements: slicers, buttons, and bookmarks for dynamic
reports. - Designing comprehensive dashboards in Power BI Service for end-to-end reporting solution.
- Sharing and collaboration features in Power BI: publishing reports, creating apps, and setting
up workspaces. - Exploration of Power BI’s integration capabilities with other Microsoft products and services.
- Power BI Service and Advanced Techniques
- Deep dive into Power BI Service: dashboards, workspaces, and content packs.
- Advanced DAX concepts for sophisticated data analysis and calculations.
- Security and administration in Power BI: setting up roles, row-level security, and audit logs.
- Hands-on project to implement an end-to-end business intelligence solution using advanced Power BI features.
- Group discussion on project outcomes, challenges faced, and solutions found.
- Final review of Power BI’s capabilities and resources for continued learning.
- Module 4: Capstone Project and Review
- Capstone Project Part 1
- Introduction to the capstone project guidelines and objectives.
- Brainstorming session to select project topics and datasets.
- Initial data exploration and planning of the analysis workflow.
- Application of SQL techniques for data extraction and manipulation.
- Starting the visualisation process in Tableau: designing the first set of dashboards.
- Integrating Tableau for in-depth analysis and reporting based on the project requirements.
- Mid-project review: presentation of initial findings and feedback session.
- Planning for the final day: setting objectives and milestones for project completion.
- Capstone Project Part 2
- Finalising data analysis and visualisation work across SQL, Tableau, and Power BI.
- Completing the integration of insights and findings into a cohesive presentation.
- Preparation and rehearsal of project presentations, focusing on storytelling and impact.
- Final capstone project presentations to the cohort and instructors.
- Constructive feedback session: discussing strengths, areas for improvement, and future
directions. - Reflection on the learning journey: key takeaways, skills acquired, and personal growth.
- Discussion on post-course learning paths and how to continue developing data analysis and visualisation skills.
Projects and Case Studies
Throughout the data analytics course, you will have the opportunity to work on various case studies and projects. These hands-on experiences will allow you to apply your skills in real-world scenarios and build a strong portfolio to showcase your expertise.
You will be tasked with developing 10-15 individual projects that cover a range of data analysis techniques, providing you with a well-rounded understanding of the field.
Some of the projects you will work on include
- MySQL for database management
- PowerBI for creating interactive dashboards
- Data Science projects involving predictive modelling using data from sources like Uber, Yahoo Finance, and the US Healthcare system.
How to Get Data Analytics Certification?
Locations Where Edoxi Offers Data Analytics Course
Here is the list of other major locations where Edoxi offers the Data Analytics Course
| Data Analytics Course in Qatar | Data Analytics Course in Dubai | Data Analytics Course in Amsterdam | Data Analytics Course in Sharjah | Data Analytics Course in Riyadh | Data Analytics Course in Jeddah | Data Analytics Course in Kuwait | Data Analytics Course in Muscat | Data Analytics Course in Bahrain |
Upcoming Batches
20 May 2024
| Duration | 60 Hours |
| Days | Monday & Wednesday |
| Time | 06.00 PM To 09:00 PM |
| Mode of Training | Online Live Training |
19 Aug 2024
| Duration | 60 Hours |
| Days | Monday & Wednesday |
| Time | 06.00 PM To 09:00 PM |
| Mode of Training | Online Live Training |
14 Oct 2024
| Duration | 60 Hours |
| Days | Monday & Wednesday |
| Time | 06.00 PM To 09:00 PM |
| Mode of Training | Online Live Training |
Review & Ratings
FAQs
Our Data Analytics Course help you learn the following,
- Gain a strong understanding of theories and fundamentals of data analytics and visualisation
- Learn data analytics programs and tools like Python, Power BI, SQL, Statistics, and Machine Learning.
- Learn how to gather, assess, and utilise data from multiple sources.
- Learn analysis of data in a context associated with their primary field of study.
No. Our course is tailored for beginners as well. The classes will start with the definition of data analytics and give you the overall picture of the sector. As per your knowledge, the course will progress to advanced levels.
The average salary for a Data Analyst is £40,887 per year in London, United Kingdom.
- Data Analyst
- Business Analyst
- Market Analyst
- Trend Analyst
Edoxi’s Data Analyst Course in London provides you with world-class training and helps you acquire in-demand data skills required to succeed in Data Analytics. Our comprehensive training covers data analytics fundamentals from basic to advanced levels. Our expert trainers provide hands-on training and as you advance in the data analytics course, you will get the opportunity to engage with multiple case studies and projects. We ensure you receive valuable guidance relevant to your career preparation. Join now to start a rewarding career in data analytics.
A data analyst is a professional who gathers, organises, and analyses data to help companies make decisions. They use statistical, mathematical, or logical operations to discover patterns, trends, relationships, or insights in data. After analysing the data, they explain the meaning, significance, and implications of the results to stakeholders or the audience.
Some of the major data analyst skills include;
- Data cleaning and preparation.
- Data analysis and exploration.
- Statistical knowledge.
- Creating data visualisations.
- Creating dashboards and reports.
- Writing and communication.
- Domain knowledge.
- Problem solving.
Edoxi provides rigorous training methods crafted to suit your learning methods and build your skills and knowledge to build a foundational career path in Data Analysis. The course objectives for our Data Analytics Classes in London also include
- To help you upskill in the booming field of data analytics
- To impart knowledge in data blending, data extraction, and forecasting.
- To help you gain expertise in the latest data visualisation techniques
- To enhance your capability in organising data and designing dashboards
Our project topics include:
- Python project: data analysis and visualisation.
- MySQL project: database management system.
- PowerBI project: Interactive dashboard.
- Data Science project: Predictive modeling.
Our Data Analytics Course can help you in the following ways,
- Impart insights into how to apply data and analytics principles in businesses.
- Help keep up with the latest trends in the industry
- Learn to use data analytic tools such as Power BI, Tableau, and more
- Testify for your skills and assert your Data Analytics expertise