Our in-depth course in data analysis offers a broad curriculum that addresses the critical topics needed to master data analysis. The course covers advanced Excel skills, database administration and SQL querying, Python programming for data analysis and machine learning, and Power BI for efficient data visualization. Students get a comprehensive grasp of the data analysis process, enabling them to succeed in today’s data-driven environment.
IT Software Skills
Data Analysis Course
Appropriate For:
- Enhanced Problem-Solving : By giving you the tools to recognize trends, spot anomalies, and solve complicated issues with data-driven methods, data analytics enables you to take well-informed decisions.
- Improved Forecasting and Strategic Planning : Data analytics enables accurate forecasts and successful business strategies for improved forecasting and planning by analyzing patterns and trends from previous data.
- Practical Application in Everyday Life : Data analytics expertise has real-world applications in daily life. Effective data organization may help with personal budgeting, and clearly communicating complicated data enhances communication abilities.
- Empowered Decision-Making : Your ability to extract important insights from complicated datasets thanks to your proficiency in data analytics will help you to make well-informed judgments in a variety of industries, including business, finance, and healthcare.
Other Softwares:
Skill:
Beginner
Duration:
2-4 Months
Sessions:
35 Sessions
Schedule:
Full Time / Part Time
Mode:
Classroom / Online
IT Software Skills
Data Analysis Course
Our in-depth course in data analysis offers a broad curriculum that addresses the critical topics needed to master data analysis. The course covers advanced Excel skills, database administration and SQL querying, Python programming for data analysis and machine learning, and Power BI for efficient data visualization. Students get a comprehensive grasp of the data analysis process, enabling them to succeed in today’s data-driven environment.
Appropriate For:
- Enhanced Problem-Solving : By giving you the tools to recognize trends, spot anomalies, and solve complicated issues with data-driven methods, data analytics enables you to take well-informed decisions.
- Improved Forecasting and Strategic Planning : Data analytics enables accurate forecasts and successful business strategies for improved forecasting and planning by analyzing patterns and trends from previous data.
- Practical Application in Everyday Life : Data analytics expertise has real-world applications in daily life. Effective data organization may help with personal budgeting, and clearly communicating complicated data enhances communication abilities.
- Empowered Decision-Making : Your ability to extract important insights from complicated datasets thanks to your proficiency in data analytics will help you to make well-informed judgments in a variety of industries, including business, finance, and healthcare.
Other Softwares:
Skill:
Beginner
Duration:
2-4 Months
Sessions:
35 Sessions
Schedule:
Full Time / Part Time
Mode:
Classroom / Online
OUR PROGRAM INCLUDES
CV Preparation
Job-Endearing CV preparation empowers an accounting career.
Interview Training
Our Interview training enriches aspirants’ skills and abilities to ace competent job opportunities.
Placement Assistance
Expert placement assistance defines terrific performances and aptitudes that impress employers.
Industry Reference
Huge clientele from numerous businesses vouch for potential job recommendations.
Certifications Provided
CPD Certificate
Shapes Training Official
Achievement Certificate
Software Certificates (Python,
SQL & Github)
Overview
The data science course provides a comprehensive overview of essential topics including Mathematics, SQL, Python, and Machine Learning. Students will learn mathematical concepts such as probability, statistics, and linear algebra, which are critical in data analysis. In addition, they will develop skills in SQL, a programming language used for managing and manipulating databases, which is vital for data retrieval and storage. Students will also learn Python, a versatile programming language used extensively in data science, to write code and develop analytical models. Lastly, students will gain expertise in Machine Learning, a branch of Artificial Intelligence (AI) that enables systems to learn from data and improve over time, which is crucial in predictive modeling and pattern recognition. Overall, the data science course aims to equip students with the knowledge and skills required to succeed in the rapidly growing field of data science.
Job Prospects
- Data Analyst
- Python Developer
- Machine Learning Engineer
- Database Administrator
- Data Scientist
The Data Science, Machine Learning, And AI Course in London typically includes advanced skills and techniques in Excel and leverages your professional skills.
Excel (Basic, Intermediate, Advanced)
Excel skills enable users to manage, modify, and analyze massive datasets with ease. It includes vital components like PivotTables and PivotCharts as well as sophisticated operations like VLOOKUP, INDEX, MATCH, and IF expressions. Advanced Excel is well known and frequently used in data analysis because of its adaptability, flexibility, and user-friendly interface.
- The basic IT functions
- Creating and using a range of name
- Locate formulas
- IFERROR
- VLOOKUP & HLOOKUP
- Analyzing Your Data
- Reducing Your Audit Risk
- Enhance Your Workflow
- Additional Topics
Mathematics & Statistics
The fundamental tools and methods for analyzing and interpreting data are provided by mathematics and statistics, which together constitute the cornerstone of data analytics. Professionals that are proficient in mathematics may identify trends, make precise forecasts, and use cutting-edge modeling approaches.
- Descriptive
- Variability
- Distribution
- Probability
- Linear Functions
- Linear Algebra
- Vectors
- Matrices
- Tensors
SQL(Structured Query Language)
The fast retrieval and analysis of data from relational databases is made possible by SQL (Structured Query Language), which is a key component of data analysis. It makes it easier to analyze massive datasets accurately, and knowing SQL is essential for successful data analysis procedures. It is important to have a thorough grasp of SQL in order to deal with data efficiently and get insightful information.
- DDL and DML in MySQL and setup
- ERD Diagrams and Relational Mapping
- Data normalization
- Basic Queries
- Database Manipulation
- Table Manipulation
- Relational Algebra
- Advanced SQL – Joining, Subquery, Views
- Database Security
- Multiple Activities to Perform
Github
Developers may build a strong portfolio displaying their coding skills and making their work available to a larger audience by using Git and GitHub. This platform provides an effective way to exchange code, cooperate with other members of the coding community, and showcase one’s abilities, eventually promoting one’s professional development and exposure.
Python
Python is a widely-used programming language in machine learning. It offers powerful libraries, tools, and frameworks for data analysis, modeling, and visualization. Python’s simplicity and flexibility make it a popular choice for building machine learning models and deploying them in real-world applications.
- Python Setup and What is Python?
- Data Types and Syntax
- Comparison Operators
- Python Loop
- Python Statements
- Logical Operators
- Methods and Functions
- Error and Exception Handling
- Modules Packages and libraries
- Debugging
- Advanced python Modules (DateTime)
- File Management
- File Management
- Multiple Projects to Build
Machine learning
Machine learning is a subset of artificial intelligence that enables computers to learn from data and make predictions or decisions without being explicitly programmed. It involves the use of algorithms, statistical models, and data to build predictive models and uncover insights from large datasets.
- Data Preprocessing
- Supervised Learning
- Classification Models
- Unsupervised Learning
- Build Dashboards for Data Visualisation
- Solved Sample Code Files for easy practice
- Access to Multiple Datasets
R Language
R is a highly regarded programming language in the realm of data analysis for its powerful statistical analysis capabilities, comprehensive library support, and graphics facilities. It is favored by statisticians and data analysts for its proficiency in data manipulation, statistical model building, and advanced data visualization.
- R Introduction
- R Installing
- R Syntax
- Comments, Variables and Data types in R
- Numbers, Math, Strings, Booleans and Operators in R
- IF, IF Else, Else if and Nested IF in R
- Loops in R
- Functions in R
- Data Structures in R
- Graphics in R
- R Statistics
- Final Project of Data Analysis with R
ETL/ELT
ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are data integration processes used to extract data from various sources, transform it into a desired format, and load it into a target data warehouse or data lake for analysis and reporting. Both ETL and ELT play a crucial role in consolidating, cleaning, and preparing data for business intelligence and analytics purposes.
- Introduction to ETL/ELT
- Extract
- Transform
- Load
- Software Tools
- Talend Studio
- Apache Hadoop
- Apache Kafka
- Real-world data projects
Power BI
Power BI is a powerful data visualization tool that enables analysts to create interactive dashboards, reports, and visualizations. With its user-friendly interface and robust features, Power BI empowers users to transform raw data into insightful and visually engaging representations. Analysts can easily explore data, identify trends, and communicate findings effectively, making Power BI an indispensable tool for data-driven decision-making.
- Introduction to Power BI
- Overview of Power BI
- Advantages of Power BI
- Power BI components
- Power BI service vs Power BI desktop
- Data Sources and Connections
- Data sources overview
- Connecting to different data sources
- Working with data in Power BI
- Data Transformation and Modeling
- Data transformation and cleaning
- Data modeling
- Creating relationships between data tables
- Visualization
- Basic visualization types
- Customizing visualizations
- Working with visuals and filters
- DAX Functions
- Introduction to DAX functions
- DAX formulas and expressions
- Aggregating and summarizing data with DAX
- Sharing and Collaboration
- Sharing and publishing reports
- Managing access to reports
- Collaboration with Power BI
- Advanced Topics
- Advanced data modeling
- Custom visuals and extensions
- Power BI embedded
- Case Studies and Hands-On Projects
- Real-world case studies
- Hands-on projects with Power BI
Skills You Will Gain
- Ability to use Mathematical Concepts
- Proficiency in SQL
- Become an expert in Python
- Expertise in Machine Learning
- Ability to Analyze and Visualize Data
Learning Outcomes
- Data Cleaning and Preprocessing Techniques
- Machine Learning Algorithms
- Artificial Intelligence Algorithms
- Data ethics and Data management and Analysis
Can I apply the skills learned in the Advanced Excel training course to my current job?
Yes, the skills acquired in the Advanced Excel training course can be immediately applied to various job roles. You will gain practical knowledge and techniques to analyse data, automate tasks, create advanced reports, and streamline processes using Excel’s advanced features.
Will I receive a certification upon completion of the Advanced Excel training course?
Yes, upon successful completion of the training, we will issue complete certification.
What topics are covered in an Advanced Excel training course?
An Advanced Excel training course typically covers topics such as advanced formulas, data analysis techniques, pivot tables, macros and automation, advanced charting, financial functions, advanced lookup functions, data visualisation, collaboration, and security features.
What is Advanced Excel training?
Advanced Excel training is a specialised course that offers comprehensive knowledge and practical skills for using Microsoft Excel’s advanced features and functionalities. Advanced formulas, data analysis methods, pivot tables, macros, advanced charting, and other subjects are covered in the training.
How long does it take to complete an Advanced Excel training course?
Depending on the tutor and the length of the curriculum, the course’s duration may vary. An Advanced Excel training course typically has options for varying levels of intensity and duration, lasting anywhere from a few days to several weeks.
- CPD Certificate
- Shapes Training Official Achievement Certificate
- Software Certificates (AWS, GCP & Microsoft)
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