Data Science with Python Certification Training

Data Science with Python

Five days of instructor led training

About this course

The Data Science with Python course is a comprehensive program designed to teach how to analyze, visualize, and interpret data using Python. It combines the power of Python libraries with analytical concepts to transform data into business insights. This course focuses on hands-on learning through practical projects and real-world case studies.

Python, being one of the most popular programming languages, offers a vast ecosystem of tools like NumPy, Pandas, Matplotlib, and Scikit-learn for data science applications. Through this course, learners gain the ability to clean, manipulate, and model data effectively. It enables professionals to automate analysis and make data-driven decisions confidently.

Whether you’re a beginner or a working professional, this course bridges the gap between programming and analytics. It prepares you for roles in data analysis, machine learning, and business intelligence with a strong foundation in Python-based data handling.

Who should attend this course

Aspiring Data Scientists who want to begin their journey with Python as the core analytical tool.
IT and Software Developers interested in transitioning into data science or machine learning domains.
Data Analysts and BI Professionals looking to strengthen their technical and analytical capabilities.
Students and Graduates from engineering, statistics, or computer science backgrounds.
Working Professionals aiming to upgrade their career with in-demand data skills using Python.
Entrepreneurs and Decision Makers who wish to leverage data insights for smarter business outcomes.

Key Learning Outcomes

Build the ability to communicate insights through data storytelling and visual dashboards.
Gain a strong understanding of Python programming and its data science libraries like NumPy, Pandas, and Matplotlib.
Learn to clean, manipulate, and visualize datasets for effective decision-making
Master techniques in exploratory data analysis, feature engineering, and predictive modeling.
Understand machine learning algorithms and how to apply them using Scikit-learn.
Develop end-to-end analytical workflows for real-world business and research problems.

Course Syllabus

Introduction to Python for Data Science — Learn Python basics, syntax, data structures, and understand how Python powers data analysis and AI.
Data Handling with NumPy and Pandas — Master data manipulation, aggregation, and transformation techniques using these core Python libraries.
Data Visualization with Matplotlib and Seaborn — Create interactive visualizations and graphs to identify patterns and trends in datasets.
Exploratory Data Analysis (EDA) — Learn to summarize, detect outliers, and extract insights using statistical and graphical methods.
Machine Learning with Scikit-learn — Build, train, and evaluate predictive models using supervised and unsupervised learning techniques.
Data Wrangling and Automation — Automate data preparation and analysis processes to improve efficiency and accuracy.
Capstone Project and Case Studies — Apply all learned skills in a live project to solve a real-world data problem using Python.

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Training Details

Course duration

5 Days (40 Hours)

Training Options

Online instructor led

This training includes

✓
5 days of instructor led training
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Industry-Approved Training Materials

Data Science with Python

“Master Data Science Using Python for Real-World Applications.”