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Professional Diploma

Data Analysis using Python

Learn data analysis using Python through practical training in NumPy, Pandas, Matplotlib, Seaborn, Plotly and Dash. Develop skills in data cleaning, preprocessing, feature engineering, exploratory data analysis, statistical analysis, visualization and interactive dashboards while working with real-world datasets and practical projects.

Duration

8 Weeks

Contact Hours

300 Hours

20% Theory · 80% Lab

Level

Beginner

Mode

Hybrid (Online + Onsite)

Certificate

Included

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Data Analysis using Python course in Lahore
About This Course

Data Analysis using Python

This practical Data Analysis using Python course develops skills in Python-based data manipulation, cleaning, preprocessing, visualization and exploratory data analysis. Students work with NumPy and Pandas, learn statistical analysis and feature engineering, create visualizations using Matplotlib and Seaborn, and develop interactive visualizations and dashboards using Plotly and Dash. The course also covers real-world datasets, data-driven reporting and presentations, and a capstone project.

Learning Outcomes

What You Will Learn

01 Build a strong foundation in Python programming for data analysis using NumPy, Pandas, Matplotlib and Seaborn.
02 Import, clean, preprocess and transform datasets, including handling missing data, duplicates and inconsistent records.
03 Apply data normalization, standardization, encoding and feature engineering techniques.
04 Create and interpret data visualizations using Matplotlib and Seaborn, including charts, distributions and correlation visualizations.
05 Develop interactive visualizations and dashboards using Plotly and Dash.
06 Perform exploratory data analysis (EDA) to identify patterns, trends, correlations and key insights.
07 Apply descriptive statistics, correlation analysis and basic hypothesis testing to analyze data.
08 Complete a capstone data analysis project and communicate findings through reports, presentations and dashboards.
Course Curriculum

Data Analysis using Python Curriculum

01 Python Fundamentals for Data Analysis
02 NumPy for Data Analysis
03 Pandas Fundamentals
04 Data Cleaning and Preprocessing
05 Feature Engineering and Advanced Data Processing
06 Data Visualization
07 Exploratory Data Analysis (EDA)
08 Statistical Analysis for Data Analytics
09 Capstone Project Development & Presentations
Career Opportunities

Career Opportunities in Data Analysis using Python

Python Developer (Data Analysis)
Research Analyst
Financial Analyst
Marketing Analyst
Operations Analyst
Data Visualization Specialist
Entry-Level Machine Learning Engineer

Prerequisites

Basic computer knowledge.

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Ready to Study Data Analysis using Python in Lahore?

Apply to CommServ Institute of AI and Professional Studies in Lahore and build practical, career-focused skills.

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