Data Science Fundamentals Course

8 Lesson

40 Hours

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Ready to step into the world of Data Science? igmGuru provides a Data Science Foundation learning pathway designed to help you develop the practical skills that matter in real-world roles. You will explore how data is collected, analyzed, and transformed into meaningful insights while working with modeling techniques and commonly used tools through hands-on practice. As you progress, you will begin to see patterns in everyday situations and understand how data drives decisions across industries. Take the first step today and begin your Data Science training with confidence.

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Overview

Prerequisites for Learning Data Science

Basic understanding of mathematics (high school level)
Logical thinking and problem-solving mindset
No prior programming experience required
Familiarity with computers and internet usage

What Will You Learn in this Data Science Training:

Introduction to Data Science concepts
Data types, structures, and lifecycle
Basics of statistics and probability
Introduction to Python for data analysis
Data cleaning and preprocessing
Exploratory Data Analysis (EDA)
Data visualization techniques
Working with Pandas and NumPy
Introduction to machine learning models
Real-world case studies
Predictive analytics and model evaluation
Performance optimization techniques
Data security and governance basics
Industry best practices
Enterprise-level data workflows

Tools and Technologies Covered

Python
Pandas
NumPy
Matplotlib
Seaborn
Jupyter Notebook
Excel

Key Features

1 On 1 Training Option Available
24 X 7 Lifetime Support & Access
Small Batches Upto 10 Participants
Experienced & Professional Trainers
Get Certified & Get Placed
100% Job Assistance

Course Curriculum

Lesson 1 - Foundations of Data Science

1. What is data science?

2. Role of Data Science in Modern Organizations

3. Types of data (structured, unstructured, semi-structured)

4. Data sources and data generation

5. Data lifecycle overview

6. Key roles: Data Analyst, Data Scientist, Data Engineer

7. Business context of data-driven decision-making

Lesson 2 - Data Management Fundamentals

1. Data collection methods and ingestion

2. Data storage concepts (databases, data warehouses, data lakes)

3. Introduction to DBMS

4. Data architecture basics

5. Data integration and ETL concepts

6. Data quality dimensions (accuracy, completeness, consistency)

7. Data governance fundamentals

Lesson 3 - Data Governance, Privacy & Security

1. Data governance frameworks

2. Data ownership and stewardship

3. Data privacy principles

4. Regulatory awareness (GDPR concepts, compliance basics)

5. Data security fundamentals

6. Ethical considerations in data usage

Lesson 4 - Data Science Process & Workflow

1. Problem definition and business understanding

2. Data acquisition and preparation

3. Exploratory Data Analysis (EDA) concepts

4. Model selection (conceptual overview)

5. Evaluation and validation approaches

6. Deployment basics (conceptual)

7. Monitoring and iteration

Lesson 5 - Data Analysis & Visualization

1. Descriptive statistics (mean, median, variance)

2. Probability basics

3. Data summarization techniques

4. Data interpretation methods

5. Visualization principles (charts, dashboards)

6. Communicating insights to stakeholders

Lesson 6 - Analytical Thinking & Machine Learning Concepts

1. Types of analytics (descriptive, predictive, prescriptive)

2. Introduction to machine learning concepts

3. Supervised vs unsupervised learning (conceptual)

4. Common algorithms overview (no coding depth)

5. Model evaluation concepts

6. Limitations and risks of ML

Lesson 7 - Business Applications of Data Science

1. Data-driven decision-making

2. Key performance indicators (KPIs)

3. Use cases across industries: Finance, Healthcare, Retail, Technology

Lesson 8 - Data Tools & Practical Exposure

1. Overview of tools used in industry, such as Python, Excel, and Visualization tools

2. Hands-on demonstration (light practical exposure)

3. Interpreting outputs rather than coding focus

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+91 7240740740 (India)

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Course Fees

Online Class Room Program

US $ 799.00

100% Money Back Guarantee

Duration : 40 Hrs
Plus Self Paced

Classes Starting From

Fast Track Batch 25 Jun 2026
Weekday Batch 29 Jun 2026
Weekend Batch 27 Jun 2026

Corporate Training

Customized Training Delivery Model
Flexible Training Schedule Options
Industry Experienced Trainers
24x7 Support

Trusted By Top Companies Worldwide

Want to know Today's Offer

Data Science Fundamentals Certification

Upon completion of this course, you will receive a course completion certificate that validates your skills in foundational knowledge of data science concepts, analytics, and real-world applications.

This training also prepares you for the ISACA Data Science Fundamentals Exam.

Exam Details:

Total Questions: 60 questions
Question Types: A combination of multiple-choice and performance-based tasks requiring hands-on problem-solving in a virtual lab environment.
Time Limit: 120 minutes (2 hours)
Passing Score: 65% or higher
Exam Format: Computer-based, taken via online remote proctoring.
Exam Cost: $150

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