Overview of Data Science Training in London
Have you ever wondered how social media and other digital platforms make personalised recommendations and suggestions that are tailored to your interests and preferences? This is made possible through the application of data science techniques. Data science involves the collection, analysis, and interpretation of large volumes of data to extract valuable insights and make informed decisions. A recent report indicates that nearly 80% of UK companies are planning to hire more data scientists in the coming years. This makes it the perfect time to pursue EDOXI’s Data Science Course in London.
With EDOXI's advanced training program, you can become a proficient Data Scientist. Our comprehensive 96-hour offline or online Data Science training program is tailored for individuals who are already working in data analytics or related fields and have a passion for data. Our industry expert instructors are also Microsoft Azure-certified data scientists who will provide you with the essential skills needed to succeed in this career.
Upon completion of our course, you will have the skills to transform raw data into valuable insights for organisations, opening up a diverse range of job opportunities. Ready yourself for top data scientist roles with EDOXI’s industry-aligned Data Science Course in London.
Benefits of Data Science Course in London
- Improve your possibility of getting hired: Completing Edoxi’s Data Science Course can significantly increase the probability of being hired compared to non-certified candidates.
- Flexibility, Freedom and Options: Gain flexibility and freedom to work across various industries, including healthcare, finance, entertainment, and more, as every industry is embracing data science.
- Familiarise data science tools and techniques: You will learn how to use Power BI, Python, Tableau, SQL, and Excel to extract valuable insights from raw data.
- Get an introduction to machine learning: The course will teach you how to train machine learning models. You will learn to use machine learning algorithms to improve performance or inform predictions.
- Enhance your portfolio: Edoxi’s course curriculum includes Practical Data Science projects that you can later add to your portfolio and talent stack for better job opportunities.
- Keep Updated on the Latest Industry Trends: Enrolling in Edoxi’s data science course will allow you to stay on top of the latest trends in the domain.
Data Science Course Features
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96-hours Comprehensive Learning
Our Data Science Course offers you an in-depth understanding of data science through in-person sessions for 96 hours.
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Case Studies and Projects
Gain practical problem-solving skills with real-world case studies and projects using cutting-edge Data Science tools.
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Expert Data Analytics Trainer
You will learn from industry experts, including a Microsoft Azure-certified data scientist, who will guide you through productive sessions tailored to your needs.
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Course Customisation
You can customise the course according to your requirements; be it getting certified or preparing for your next job upgrade.
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Limited Cohorts
Each batch of our Data Analytics course consists of limited students to provide the maximum personal attention.
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Flexibility
Choose from flexible scheduling options including weekend or weekday classes, as well as online and offline sessions, to suit your convenience.
Major Industries Looking for Data Science Professionals
Banking
Media & Entertaining
Finance
Healthcare
Telecommunication
Cybersecurity
Prerequisites For Data Science Course
Graduates and professionals in the below-listed category can join our Data Science Course.
- Passionate data science enthusiast.
- Data analyst / Business executive.
- Business Intelligence professionals.
- Software Developers.
- Computer Science Engineers.
- Business Analysts.
Data Science Course Modules
- Module 1: Data Science Using Tableau
- Introduction
- Understanding Tableau concepts
- Aggregation & Granularity
- 25+ Charts
- Hierarchies, Filters and Sorting
- Groups and Sets
- Calculated Fields & Table calculations
- Parameters
- Tableau connection type
- Union, Join and Blending
- Formatting
- Dashboards & Stories
- Module 2: Data Science Using Python
- Introduction to Data Science
- Python Basics
- Data Manipulations
- Regression
- Classification
- Clustering
- Association Rule
- Case Studies
- Module 3: Data Science Using Excel
- Orientation
- Basic Statistical Functions
- Conditional Statements
- Playing with Text
- Playing with Dates
- Lookup & Reference Functions
- Array Formula & Unary Operator
- Pivot Tables
- Conditional Formatting
- Advanced Charts
- Excel Dashboard
- Sensitivity Analysis
- Module 4: SQL For Data Science
- Introduction
- Statement Fundamentals
- Group By
- Joins
- Creating Database and Table
- Advanced SQL commands
- Module 5: Data Science Using Power BI
- Introduction to Self-Service BI Solutions
- Introducing Power BI
- Power BI Data
- Shaping and Combining Data
- Modelling Data
- Interactive Data Visualizations
- Direct Connectivity
- Power BI Mobile & Web Service
Case Studies
In the course, you will come across various data science case studies to enhance your learning experience. They give you a practical approach to the concepts and theories you learn in the course. Following are some of the case studies included in the course:
- Regression: Develop a predictive model to predict the potential car purchase amount using regression techniques (Linear, Decision Tree, Random Forest, etc.)
- NLP + Classification: Developed a spam detector to filter out all irrelevant/spam messages; Used Naive Bayes algorithm coupled with NLP libraries for data cleansing.
- Clustering: Develops a clustering model to classify retail store customers into different cohorts based on customer demographics (Sex, Age, Income, Education, etc.) so that suitable marketing strategies can be used for individual cohorts.
- Recommendation system: Develop a movie recommendation tool to show customers relevant content that they would like best based on their historical activity.
- Time series: Develop a Time series model to forecast the number of air passengers for an airline using different modelling techniques, e.g., Simple Exponential Smoothening, Holt Winter Exponential and ARIMA.
How to Get Data Science Certified?
Upcoming Batches
29 Mar 2024
| Time | 07.00 |
| Class Type | Live Training |
1
Apr
2024| Time | 07.00 |
| Class Type | Live Training |
5
Apr
2024| Time | 07.00 |
| Class Type | Live Training |
Review & Ratings
FAQs
Edoxi’s Data Science Certification Course is designed to meet the growing relevance of Data Science across sectors. The course encompasses fundamentals of data science, projects and case studies that provide a real-world experience to the participants.
The Data Science Course in London is suitable for data science enthusiasts. Prior knowledge or experience of data is mandatory to enrol in the course. Data Analysts / Business Executives, Business Intelligence professionals, Software Developers, Computer Science Engineers and Business Analysts are some of the professionals who can peruse the course.
The course encompasses all the fundamental and advanced topics you need to learn to enter the data science job market. You will learn how Power BI, Python, Tableau, SQL, and Excel are used for Data Science.
Data Science is a rapidly growing field that offers a multitude of exciting career opportunities. As a data scientist, you'll have the chance to work across a variety of industries and enjoy a high level of job security. The field also boasts some of the highest salaries in the job market, making it a smart choice for those seeking financial stability and growth.
A data scientist uses statistical and computational methods to collect, organise, process, and analyse large data sets. They are responsible for identifying patterns, trends, and insights that can help businesses and organisations make data-driven decisions. Data scientists work in various industries, including healthcare, finance, marketing, and technology. They help organisations to improve efficiency, reduce costs, and gain a competitive advantage by providing insights and recommendations based on data analysis.
The average salary for a Data Scientist is £60244 per year in London. EDOXI’s Data Science Training will help you get theoretical and practical knowledge of several tools, techniques, and modern advancements in the Data Science field and will give you a chance to get hired by your favourite company in London.
Adding data science to your business practices will;
- Enhance overall productivity
- Make data-driven business decisions
- Help in product development.
- Minimise or eradicate the risk of fraud and error
- Increase efficiency
- Provide better customer service.
Data science is one of the fastest-growing fields, and completing a data science course can lead to various career opportunities such as data scientist, data analyst, machine learning engineer, business intelligence analyst, and more.