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Data Science, Machine Learning & AI Course | FC Training
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Data Science, Machine Learning, and AI Course
Home
Digital Academy
Data Science, Machine Learning, and AI Course
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.
Overview
Modules
Skills
Career
Course 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.
Suitable For
This course is suitable 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.
Certification
Certification in Data Science, Machine Learning, and AI
Course Modules
Mathematics & 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.
1. Mathematics
Linear Functions
Linear Algebra
Vectors
Matrices
Tensors
2. 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
Multiple Activities to Perform
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
Multiple Activities to Perform
Multiple Projects to Build
Data Science/ 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
Regression Models
Simple Linear Regression
Multiple Linear Regression
Polynomial Regression
Random Forest Regression
Topics such as
Assessing a Regression Model
Bias vs Variance
Regularisation
Gradient Descent
Classification Models
Decision Tree Classification
K-Nearest Neighbor
Logistic Regression
Naïve Bayes
Random Forest Classification
Support Vector Machines
Additional Topics
Assessing a Classification Model
Adaboost
Gradient Boosting
XGBoost
Grid Search CV
Unsupervised Learning
Clustering Models
Hierarchical
K-Means Clustering
Association
Apriori
Eclat
Build Dashboards for Data Visualisation
Solved Sample Code Files for easy practice
Access to Multiple Datasets
7+ Real world data projects
A.I.
Reinforcement Learning
Thompson Sampling
Upper Confidence Bound (UCB)
Q-Learning
Natural Language Processing (NLP)
Deep Learning
Artificial Neural Networks (ANN)
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
Additional Topic
LSTM
Solved Sample Code Files for easy practice
Access to Multiple Datasets
2+ Master A.I. Projects
ADDON Module:
GIT
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.
Python GUI and SQLite
Learn to create custom custom graphical user interface applications using one of the widely used library, TkInter. You will also learn to use the inbuild database within python, SQLite.
Skills You Will Gain
The students will acquire following set of skills after completing this Training Course.
Ability to use Mathematical Concepts
Proficiency in SQL
Become an expert in Python
Expertise in Machine Learning
Ability to Analyze and Visualize Data
Data Cleaning and Preprocessing Techniques
Machine Learning Algorithms
Artificial Intelligence Algorithams
Data ethics and Data management and Analysis
Career Path
Data Analyst
Machine Learning Engineer
Data Scientist
Python Developer
Database Administrator
Machine Learning Projects
Weather Prediction (Time Series Data)
Predicting cancer malignant or benign based on Data
Predicting Stock Prices
Hand Written Digit Recognition
Wine Quality Prediction
Marketing Data Analysis
Taxi Fare Prediction
Master Projects
A.I. Plays Super Mario Game
A project on Reinforcement Learning to display your practical skills to the RECRUITER.
A.I. Sales Agent
A project on Reinforcement Learning, Deep Learning and Natural Language Processing (NLP) Learning to display your practical skills to the RECRUITER.
Text-to-Image & Image-to-Text Generation Tool
A project on Large Language Model (LLM) to generate image from a prompt given (Text-to-Image) and to generate the description of the image from a given image (Image-to-Text).
If you would like us to build your website or contribute to your project, contact us @ info@futureconnectmedia.com or visit futureconnectmedia.com to learn more.
This course includes:
Learn Python, SQL (Database)
Learn Data Science and Machine Learning Skills
Learn some popular software such as VS Code, XAMPP/MAMPP, Anaconda
Learn some popular libraries such as ScikitLearn and TensorFlow(Keras)
Creative Activities, Lectures and more
Masters level Course Content with Hands-on Training
Multiple Projects to test your skills upon
Join the leading Industry with over 20 billion Pounds of investment
Online Practical Training
Flexible Payment Structure
CV Support
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Our training includes in-depth instruction in Xero, QuickBooks, Sage, and Payroll, all integrated with intensive AAT studies. With our comprehensive approach, you'll be fully prepared for success in your career.
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