Data Science

About Course

Data Science is an interdisciplinary field that uses scientific methods, statistics, programming, and data analysis techniques to extract meaningful insights and knowledge from structured and unstructured data.

In simple terms:

“Data Science is the process of collecting, analyzing, and interpreting data to help organizations make better decisions.”

Key Features of Data Science

Data Collection and Data Analysis
Data Cleaning and Data Preprocessing
Statistical Analysis and Probability
Python Programming for Data Science
Data Visualization and Reporting
Database Management and SQL
Machine Learning Fundamentals
Predictive Analytics and Forecasting
Business Intelligence and Decision Making
Big Data and Cloud Technologies

1. Understand the fundamentals of Data Science and Analytics.
2. Learn Python programming for data analysis and visualization.
3. Collect, clean, and preprocess data from various sources.
4. Perform statistical analysis and interpret data effectively.
5. Work with SQL databases and data management techniques.
6. Create insightful visualizations using industry-standard tools.
7. Apply Machine Learning techniques for predictive analytics.
8. Perform Exploratory Data Analysis (EDA) on real-world datasets.
9. Build practical Data Science projects and case studies.
10. Develop job-ready skills for careers in Data Science and Analytics.

About Course

In simple terms:

What Will You Learn?

Course Content

Module 1

Introduction to Data Science

Module 2

Python for Data Science

Module 3

Statistics and Probability

Module 4

Data Collection and Data Preprocessing

Module 5

SQL and Database Management

Module 6

Exploratory Data Analysis (EDA)

Module 7

Data Visualization

Module 8

Machine Learning for Data Science

Module 9

Big Data and Cloud Computing Definition

Module 10

Real-World Projects and Career Preparation

teknowgrade.in

@ All Rights Reserved