Data Science
About This Course
This course provides a comprehensive introduction to Data Science, covering the key concepts, tools, and techniques used in real-world data-driven decision-making. You will learn how to collect, clean, analyze, visualize, and model data using industry-standard tools such as Python, SQL, and popular machine learning libraries. The program combines theory with hands-on projects to help you gain practical experience in solving business problems using data.
Learning Objectives
By the end of this course, you will be able to:
Understand the fundamentals of Data Science, statistics, and data analytics.
Work with Python, SQL, and essential data manipulation libraries (NumPy, Pandas).
Perform data cleaning, preprocessing, and exploratory data analysis (EDA).
Build data visualizations using Matplotlib, Seaborn, and Power BI/Tableau.
Apply machine learning algorithms for classification, regression, and clustering.
Understand supervised, unsupervised, and deep learning basics.
Work on end-to-end real-time projects and case studies.
Interpret data insights to support business decisions.
Target Audience
- Students and fresh graduates seeking a career in Data Science.
- Working professionals looking to upskill or transition into data-related roles.
- Software developers, engineers, and IT professionals interested in analytics and machine learning.
- Business analysts who want to enhance their data-driven decision-making skills.
- Anyone curious to learn how to analyze and interpret data for real-world applications.
Curriculum
Module 1: Introduction to Data Science
Module 2: Programming for Data Science
Module 3: Mathematics for Data Science
Module 4: Data Manipulation and Cleaning
Module 5: Data Visualization
Module 6: Machine Learning
Module 7: Natural Language Processing (NLP)
Module 8: Time Series Analysis
Module 9: Deep Learning (Optional)
Module 10: SQL for Data Science
Module 11: Big Data and Cloud Computing
Module 12: Data Science Project
Module 13: Career Preparation
Your Instructors
admin
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₹49.00
