Our IT courses are constructed keeping in mind the jobs available in the IT market, by making our students work on actual data. These courses offer complete working knowledge of IT domain, making you think like a developer, with all essential concepts taught in universities with years of practical tips and working strategies included. Our courses prepare our students to tackle more than required tasks asked by companies in their job descriptions making you highly employable. Once our students complete one of these courses, they can work on any similar tool that might come out in the future depending upon the type of course they have undertaken.
IT Software Skills
DATA SCIENCE, MACHINE LEARNING, AND AI
Appropriate For:
- Individuals interested in learning about data analysis and machine learning.
- Beginners who are looking to gain a strong foundation in essential topics such as mathematics, programming, and machine learning.
- Those with some prior experience in the field who want to enhance their skills and knowledge.
- Students who want to develop analytical models and make data-driven decisions.
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.
Mathematics and statistics
Mathematics and statistics are crucial in machine learning, providing tools for creating models that learn from data and make accurate predictions. Linear algebra, calculus, and probability theory are used in algorithms, while statistics analyzes data, identifies patterns, and predicts outcomes. Strong knowledge in these areas is necessary for success in machine learning.
Mathematics
- Linear Functions
- Linear Algebra
- Vectors
- Matrices
- Tensors
Statistics
- Descriptive
- Variability
- Distribution
- Probability
SQL (Database)
SQL is critical in machine learning, allowing efficient data retrieval and analysis from relational databases. It ensures accurate analysis of large data sets, with solid understanding essential for success.
- DDL and DML in MySQL and setup
- ERD Diagrams and Relational Mapping
- Data normalisation
- Basic Queries
- Database Manipulation
- Table Manipulation
- Relational Algebra
- Advanced SQL – Joining, Subquery, Views
- Database Security
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
Docker
- What is Docker?
- Why Docker?
- How Docker helps us in ML/Software development?
- Docker Basics
- Difference between Container and Image
- Creating our own Docker Image
- Docker Registry
- Push Docker Images in Docker Registry
- Pull Docker Images from Docker Registry
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
Advance 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.
- Reinforcement Learning
- Natural Language Processing (NLP)
- Deep Learning
- Solved Sample Code Files for easy practice
- Access to Multiple Datasets
Jenkins
This module provides a comprehensive overview of Jenkins, a leading automation server widely used for continuous integration and continuous delivery (CI/CD) processes. Participants will delve into the fundamentals of Jenkins, its operations, and integration with other tools such as GitHub for creating efficient CI/CD pipelines.
- Jenkins Intro
- Jenkins Basics
- Jenkins Operations
- GitHub Integration & CI/CD Test Pipeline
Github
Learn the fundamentals of version control via git and create your amazing looking developer portfolio on github to showcase your code or share your code with the world.
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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