Data Science
COURSES / Data Science
Beginner’s Guide to Data Science
Data Science is one of the fastest-growing fields in technology, combining statistics, programming, and domain knowledge to extract insights from data. Our Beginner’s Guide to Data Science introduces you to the core concepts, tools, and techniques used by data professionals. You’ll learn how to collect, clean, and analyze data, visualize trends, and make data-driven decisions.
The course covers Python programming, data manipulation with libraries like Pandas and NumPy, data visualization with Matplotlib and Seaborn, and an introduction to machine learning concepts. With hands-on projects and real-world datasets, this course equips you with the practical skills to start a career in data science and solve real-world problems using data.
Course Details
Location: Kochi
What You’ll Explore In
Data Science?
Our Data Science course teaches you how to analyze data, build predictive models, and create actionable insights. You’ll start with Python programming, data manipulation with NumPy and Pandas, and exploratory data analysis. Learn statistics, probability, and data visualization using tools like Matplotlib, Seaborn, and interactive dashboards. Advance to machine learning techniques including regression, classification, clustering, and model evaluation. Finally, explore deep learning, NLP, time series forecasting, and complete a hands-on capstone project from data collection to deployment.
Python Programming
NumPy
Pandas
Exploratory Data Analysis (EDA)
Statistics
Probability
Data Visualization
Modules
Module 1: Python & Data Science Foundations
Module 2: Statistics & Probability for Data Science
Module 3: Data Visualization & Storytelling
Module 4: Machine Learning
Module 5: Advanced Topics & Project
Who Can Join This Course
Whether you’re a fresher, graduate, or professional looking to switch to IT, our Data Analytics course in Kochi, Kerala, equips you with the latest skills and placement support. Learn from industry experts through structured modules, real-time projects, and mock interviews, and kickstart your career in data analytics with confidence.
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