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90 Days Data Science & Artificial Intelligence From Scratch

Learn Data Science & Artificial Intelligence From ScratchThe 90 Days Data Science & Artificial Intelligence From Scratch program is designed for beginners, students, and profession...

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90 Days Data Science & Artificial Intelligence From Scratch
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About this Course

Learn Data Science & Artificial Intelligence From Scratch

The 90 Days Data Science & Artificial Intelligence From Scratch program is designed for beginners, students, and professionals who want to build practical and job-ready skills in Data Science, Python Programming, SQL, Data Analysis, Machine Learning, Data Visualization, and Artificial Intelligence.

In today’s digital world, data plays a major role in business growth, technology, automation, healthcare, finance, and decision making. This program helps learners understand how data is collected, cleaned, analyzed, and transformed into meaningful insights that solve real world problems.

With simple explanations, hands-on practice, and practical learning, students will gain confidence in understanding modern data tools and technology. Whether you want to start a career in Data Science, improve technical skills, or understand how Artificial Intelligence works, this program provides a strong foundation from scratch.

This beginner friendly program focuses on practical knowledge, problem solving, and industry relevant skills to help learners grow in today’s technology driven world.

What You Will Learn

TopicWhat You Will Learn
Python ProgrammingVariables, loops, functions, conditions, and logic building
NumPy & PandasData handling, calculations, filtering, and analysis
SQLWriting queries, database handling, and structured data management
StatisticsUnderstanding trends, averages, probability, and data insights
Data CleaningFixing errors, handling missing values, and preparing datasets
Data AnalysisUnderstanding patterns and solving data problems
Data VisualizationCreating charts, graphs, reports, and dashboards
Machine LearningBasic models, predictions, and practical concepts
Artificial Intelligence ToolsSmart automation and real world AI workflows
Real ProjectsPractical case studies and business problem solving
Career SkillsPortfolio building, confidence, and analytical thinking

Who This Program Is For

This training is ideal for:

  • Beginners who want to learn Data Science from scratch
  • Students interested in technology and analytics
  • Working professionals who want to upgrade digital skills
  • Freelancers who want to expand technical knowledge
  • Entrepreneurs who want to understand data-driven decisions
  • Career switchers entering Data Science or technology fields
  • Learners who want to understand Python and modern data tools

Why Join This Program

  • Beginner Friendly Learning
  • Learn From Scratch
  • Step by Step Practical Training
  • Easy to Understand Lessons
  • Hands-on Projects
  • Real World Case Studies
  • Industry Relevant Skills
  • Problem Solving Approach
  • Python From Scratch
  • Machine Learning Basics
  • Artificial Intelligence Tools
  • Career Focused Learning
  • Portfolio Building
  • Certificate of Completion

Prerequisites

You only need a few basic things to start this program:

RequirementDetails
Laptop / ComputerRequired for coding, practical learning, and projects
Internet ConnectionFor learning resources and online access
Basic Computer KnowledgeUnderstanding files, folders, and internet usage
Learning MindsetWillingness to practice and learn step by step

No prior programming knowledge is required.

This program is designed for complete beginners, and Python will be taught from scratch with simple explanations and practical examples.

🛠 Tools & Technologies Covered

ToolPurpose
PythonProgramming, automation, and logic building
NumPyNumerical calculations and arrays
PandasData analysis and manipulation
SQLDatabase management and queries
MatplotlibCharts, reports, and visualization
Machine Learning BasicsPattern recognition and predictions
Artificial Intelligence ToolsSmart workflows and automation

Skills You Will Build

After completing this program, learners will be able to:

  • Understand the complete Data Science workflow
  • Work with real world datasets
  • Clean and organize data effectively
  • Analyze data and identify useful insights
  • Create charts, reports, and dashboards
  • Write SQL queries confidently
  • Build basic Machine Learning models
  • Use Artificial Intelligence tools in practical tasks
  • Solve business problems using data
  • Build practical projects
  • Improve analytical thinking and problem solving skills

Career Opportunities

This knowledge can help learners move toward roles like:

  • Data Analyst
  • Junior Data Scientist
  • Business Analyst
  • Python Developer
  • Data Visualization Specialist
  • Analytics Executive
  • Machine Learning Support Roles
  • Entry-Level Data Roles

Trainer Details

Trainer Name: Aditya Kumar

Founder: Webitya

Role: Certified Digital Marketing Trainer, Data Science and Artificial Intelligence Mentor, Website Designing Expert, and SEO Specialist

Skill India Trainer ID: TR592713

With practical industry experience and a hands-on teaching approach, Aditya Kumar helps learners understand complex topics in a simple and practical way while building real-world skills in Data Science, Python, Artificial Intelligence, SEO, and digital technologies.

Start Your Learning Journey

If you want to build strong skills in Data Science, Python, SQL, Machine Learning, Data Analysis, Data Visualization, and Artificial Intelligence, this 90 Days Data Science & Artificial Intelligence From Scratch program is the perfect way to start. Learn step by step, practice on real projects, and develop practical skills that can support future career growth in the world of data and technology.

Course Curriculum

01

Understanding Data Science, Artificial Intelligence, Industry Applications and the Complete 90 Days Learning Journey

Video Lesson20:31
02

Install Python, VS Code & Anaconda | Conda Init Setup for Beginners

Video Lesson25:33
03

Conda Environment and Jupyter Lab Setup Using CMD | Python Environment Tutorial

Video Lesson11:09
04

Python Tutorial | First Program, Comments, Indentation, Variables & Data Types

Video Lesson20:06
05

Python Strings, String Methods, Indexing, Slicing and f-Strings in Python

Video Lesson33:55
06

Python Operators in Python | Arithmetic, Comparison and Logical Operators

Video Lesson34:12
07

Python Input and If Else in Python | User Input and Conditions for Beginners

Video Lesson21:19
08

Python Loops Tutorial | For Loop, While Loop, Break Continue Pass

Video Lesson33:45
09

Python Functions | Functions, Parameters and Arguments in Python

Video Lesson13:22
10

Python Match Case Statement | Match Case vs If Else with Examples | Day 10

Video Lesson20:35
11

Introduction to Loops and Automating Repetitive Tasks Using For Loops

Video Lesson
12

Working with While Loops and Understanding Loop Execution Flow

Video Lesson
13

Controlling Program Flow Using Break, Continue and Pass Statements

Video Lesson
14

Understanding Strings and Working with Text Data in Python

Video Lesson
15

Cleaning, Formatting and Manipulating Text Data Using String Methods

Video Lesson
16

Advanced String Operations and Real World Text Processing Examples

Video Lesson
17

Understanding Lists and Managing Multiple Values Efficiently

Video Lesson
18

Performing Data Manipulation Using List Methods and Operations

Video Lesson
19

Understanding Tuples and Learning When to Use Immutable Data Structures

Video Lesson
20

Working with Sets to Remove Duplicate Data and Perform Set Operations

Video Lesson
21

Managing Structured Information Using Dictionaries and Key Value Data Storage

Video Lesson
22

Creating Reusable Programs Using Functions and Function Design Principles

Video Lesson
23

Understanding Function Parameters, Arguments and Return Values with Practical Examples

Video Lesson
24

Working with Lambda Functions and Writing Compact Efficient Code

Video Lesson
25

Using Modules, Packages and Built In Python Libraries Effectively

Video Lesson
26

Handling Errors Professionally Using Exception Handling and Try Except Blocks

Video Lesson
27

Reading, Writing and Managing Files Using Python File Handling Techniques

Video Lesson
28

Solving Real World Python Problems and Practical Coding Exercises

Video Lesson
29

Building a Complete Python Mini Project from Scratch

Video Lesson
30

Python Programming Revision, Assessment, Quiz and Project Review Session

Video Lesson
31

Introduction to NumPy and Understanding Why NumPy is Important for Data Science

Video Lesson
32

Creating One Dimensional and Multi Dimensional Arrays Using NumPy

Video Lesson
33

Accessing Data Using Indexing, Slicing and Array Manipulation Techniques

Video Lesson
34

Performing Mathematical Operations and Calculations Using NumPy Arrays

Video Lesson
35

Working with Statistical Functions and Aggregation Operations in NumPy

Video Lesson
36

Understanding Array Reshaping, Broadcasting and Advanced NumPy Operations

Video Lesson
37

Solving Real World Data Processing Problems Using NumPy

Video Lesson
38

NumPy Practice Session, Hands On Exercises, Quiz and Assessment

Video Lesson
39

Introduction to Pandas and Understanding Modern Data Analysis Workflows

Video Lesson
40

Working with Series and Understanding One Dimensional Data Structures

Video Lesson
41

Working with DataFrames and Understanding Tabular Data Analysis

Video Lesson
42

Importing Data from CSV, Excel and External Data Sources

Video Lesson
43

Exporting Processed Data and Managing Data Files Professionally

Video Lesson
44

Selecting, Filtering and Exploring Data Using Pandas Techniques

Video Lesson
45

Handling Missing Values and Incomplete Records in Real World Datasets

Video Lesson
46

Cleaning Raw Data and Preparing Datasets for Analysis

Video Lesson
47

Sorting, Transforming and Organizing Data Efficiently

Video Lesson
48

Performing GroupBy Operations and Data Aggregation Techniques

Video Lesson
49

Merging, Joining and Combining Multiple Datasets

Video Lesson
50

Working with Real World Business Datasets and Practical Analysis

Video Lesson
51

Building a Complete Data Cleaning Project Using Pandas

Video Lesson
52

Pandas Revision, Assessment, Quiz and Project Review

Video Lesson
53

Understanding Statistics and Its Role in Data Driven Decision Making

Video Lesson
54

Learning Types of Data, Measurement Scales and Data Classification

Video Lesson
55

Understanding Mean, Median and Mode for Descriptive Data Analysis

Video Lesson
56

Measuring Data Distribution Using Range, Variance and Standard Deviation

Video Lesson
57

Understanding Probability Fundamentals and Real World Applications

Video Lesson
58

Learning Correlation Analysis and Identifying Relationships Between Variables

Video Lesson
59

Introduction to Data Visualization and Understanding How Data Tells a Story

Video Lesson
60

Creating Professional Line Charts and Understanding Trends Using Matplotlib

Video Lesson
61

Creating Bar Charts and Comparing Categories Effectively Using Matplotlib

Video Lesson
62

Understanding Pie Charts, Histograms and Distribution Analysis Techniques

Video Lesson
63

Creating Scatter Plots and Identifying Relationships Between Variables

Video Lesson
64

Introduction to Seaborn and Creating Advanced Statistical Visualizations

Video Lesson
65

Building Professional Dashboards and Visual Reports for Business Decision Making

Video Lesson
66

Data Visualization Project, Dashboard Presentation and Assessment Session

Video Lesson
67

Introduction to Databases and Understanding How Data is Stored in Real World Systems

Video Lesson
68

Writing Your First SQL Queries Using SELECT Statements and Retrieving Data Efficiently

Video Lesson
69

Filtering and Sorting Data Using WHERE, ORDER BY and LIMIT Clauses

Video Lesson
70

Performing Business Calculations Using Aggregate Functions Such as SUM AVG MIN MAX and COUNT

Video Lesson
71

Analyzing Data Using GROUP BY and HAVING Clauses for Business Insights

Video Lesson
72

Combining Multiple Tables Using SQL Joins and Understanding Table Relationships

Video Lesson
73

Working with Subqueries and Solving Real World SQL Business Problems

Video Lesson
74

SQL Mini Project, Assessment, Interview Questions and Practical Evaluation

Video Lesson
75

Introduction to Exploratory Data Analysis and Understanding the Data Science Investigation Process

Video Lesson
76

Performing Data Cleaning, Outlier Detection and Feature Understanding Using Real Datasets

Video Lesson
77

Creating Insights Through Visual Analysis and Identifying Hidden Patterns in Data

Video Lesson
78

Complete Exploratory Data Analysis Project Using a Real World Business Dataset

Video Lesson
79

Introduction to Machine Learning and Understanding Predictive Analytics Applications

Video Lesson
80

Understanding the Complete Machine Learning Lifecycle from Data Collection to Prediction

Video Lesson
81

Preparing Data for Machine Learning Using Feature Engineering and Data Preprocessing Techniques

Video Lesson
82

Understanding Training Data, Testing Data and Model Evaluation Concepts

Video Lesson
83

Building Your First Linear Regression Model and Predicting Numerical Values

Video Lesson
84

Understanding Classification Problems Using Logistic Regression and Decision Trees

Video Lesson
85

Building Random Forest Models and Understanding Ensemble Learning Techniques

Video Lesson
86

Evaluating Machine Learning Models Using Accuracy Precision Recall and F1 Score Metrics

Video Lesson
87

Introduction to Artificial Intelligence, Generative AI and Modern AI Applications Across Industries

Video Lesson
88

Using ChatGPT, Prompt Engineering and AI Productivity Tools for Data Science Workflows

Video Lesson
89

Building a Professional Data Science Portfolio, Resume, GitHub Profile and LinkedIn Presence

Video Lesson
90

Final Capstone Project Presentation, Career Guidance Session and Certificate Eligibility Assessment

Video Lesson

What you'll learn

Master core concepts from scratch
Build real-world projects
Industry best practices
Certificate of completion
FREE
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Full lifetime access
Access on mobile and TV
Certificate of completion