About the AI/ML Course
Data Science is a field that combines computers, math, statistics, and artificial intelligence to analyze large amounts of data. It helps businesses understand what happened in the past, why it happened, what might happen in the future, and what actions to take. These insights help companies stay ahead, improve their processes, and make smarter decisions.
At TheSchoolWork, we also offer a basic-to-advanced DTP Course in Mumbai.
Course Goal
Our Artificial Intelligence and Machine Learning (AI/ML) course is designed to build a strong base in Python programming and show how it's used in AI and ML. Offered at our Mumbai branch, this course will teach students how to:
✅ Build AI/ML algorithms
✅ Work with popular tools and libraries
✅ Create real-world AI/ML projects using Python
Eligibility:
🔹BC
🔹 MCA
🔹CE
🔹 IT
🔹 12th Pass (Science)
Recommended Background:
🔹Basic programming knowledge
🔹Understanding of statistics
🔹Interest in AI & Machine Learning
🔹Technologies & Tools You'll Learn:
🔹Python
🔹SQL
🔹TensorFlow
🔹Power BI
🔹NLP (Natural Language Processing)
🔧 Technologies & Tools You'll Learn:
✅ Python
✅ SQL
✅ TensorFlow
✅ Power BI
✅ NLP (Natural Language Processing)
Course Duration
18 Months
Daily Learning Time
4+2 Hours Daily
Python for Data Science
🔹Basics of Python & Jupyter Notebook
🔹Variables, Data Types, and Operators
🔹If-Else Conditions & Loops
🔹Functions and Modules
🔹NumPy – for handling numbers and arrays
🔹Pandas – for working with data tables
🔹Matplotlib & Seaborn – for charts and data visualization
🔹Exploratory Data Analysis (EDA)
🔹Data Cleaning & Preprocessing
SQL & Database Management
In this module, you will learn the basics of working with databases using SQL (Structured Query Language). You'll be able to store, manage, and retrieve data effectively.
Topics Covered:
🔹Introduction to Databases & SQL:
• Learn what databases are and how SQL is used to work with them.
🔹Data Retrieval:
• Use commands like SELECT, WHERE, and ORDER BY to find and sort data.
🔹Filtering & Aggregation:
• Learn how to group data using GROUP BY and filter grouped data with HAVING.
🔹Joins:
• Combine data from multiple tables using INNER, LEFT, RIGHT, and FULL joins.
🔹Subqueries:
• Use queries inside other queries to get more specific results.
🔹Data Manipulation:
• Add, update, and delete data using INSERT, UPDATE, and DELETE.
🔹Window Functions:
• Perform advanced calculations across rows without grouping the data.
🔹CASE Expressions:
• Use conditional logic in your SQL queries.
Excel
In this module, you will learn how to use Excel for organizing, analyzing, and presenting data.
Topics Covered:
🔹Basic & Advanced Formulas:
• Learn how to perform simple to complex calculations in Excel.
🔹Conditional Formatting & Data Validation:
• Highlight important data and control what kind of data can be entered in cells.
🔹Pivot Tables & Charts:
• Summarize large data sets and turn them into easy-to-read charts.
🔹Lookup Functions (VLOOKUP, HLOOKUP, XLOOKUP):
• Find information quickly from large tables using lookup formulas.
🔹Data Cleaning & Transformation:
• Learn how to fix, organize, and prepare data for analysis
Power BI for Data Visualization
In this module, you'll learn how to turn raw data into clear, interactive visuals using Power BI.
Topics Covered:
🔹Introduction to BI & Data Visualization:
• Understand what Business Intelligence (BI) is and how data can be shown visually.
🔹Connecting & Importing Data:
• Learn how to bring data into Power BI from different sources.
🔹Data Modeling & DAX Functions:
• Organize your data and use DAX formulas to create custom calculations.
🔹Creating Interactive Dashboards:
• Build dashboards that are easy to explore and understand.
🔹Advanced Charts & Visuals:
• Use different chart types to make your data more meaningful.
🔹Power Query for Data Transformation:
• Clean and shape your data before using it in reports.
Business Case Study & Practical Applications
In this module, you’ll learn how to solve real business problems using data tools.
Topics Covered:
🔹Understanding Real-World Business Problems:
• Learn how to identify and understand actual business challenges.
🔹Defining Key Performance Indicators (KPIs):
• Find out which numbers and goals matter most for measuring success.
🔹Data-Driven Decision Making:
• Use data to make smart and informed business decisions.
🔹Hands-on Business Case Analysis:
• Work on real case studies to practice problem-solving skills.
🔹Applying Python, SQL, Excel & Power BI:
• Use the tools you’ve learned to solve real business problems.
🔹Presentation & Report Writing:
• Learn how to clearly present your findings and write professional reports.
Machine Learning (ML) Essentials
In this module, you'll learn the basics of Machine Learning and how to build models using real data.
Topics Covered:
🔹Introduction to Machine Learning:
• Understand what ML is and the different types like supervised and unsupervised learning.
🔹Supervised Learning:
• Learn how to predict outcomes using techniques like Linear Regression, Logistic Regression, and Decision Trees.
🔹Unsupervised Learning:
• Discover how to find hidden patterns in data using methods like Clustering, K-Means, and PCA.
🔹Model Evaluation and Metrics:
• Learn how to check if your ML model is working well using accuracy scores and other metrics.
🔹Feature Engineering & Model Selection:
• Improve your models by choosing the right data and selecting the best model.
🔹Hands-on with Scikit-learn:
• Practice building and testing ML models using the popular Python library, Scikit-learn.
What You Will Learn
This course will teach you how to understand and analyze data, helping you start your career as a Data Analyst.
Course Overview
Excel – Microsoft Excel
Learn how to manage data, use formulas, create pivot tables, and make charts for better understanding.
Formulas · Pivot Tables · Data Charts
SQL – Structured Query Language
Learn how to work with databases, write queries, and get useful information from data.
Database · Queries · MySQL
Python – Python for Data Analysis
Use Python tools like pandas, numpy, and matplotlib to process and analyze data.
Pandas · NumPy · Matplotlib
Power BI – Data Visualization
Learn how to turn data into easy-to-understand visuals using Power BI.
Power BI · Data Charts · Visualization
Projects – Real-World Practice
Work on hands-on projects based on real business problems to build your practical skills.
Hands-on Learning · Industry Projects
