Python for Data Analysis

Learn Python, Data Cleaning, Visualization and Exploratory Data Analysis

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Python for Data Analysis

SILAN SOFTWARE | PROFESSIONAL TRAINING

Python for Data Analysis

Transform raw data into meaningful business insights using Python, NumPy, Pandas, Data Cleaning, Visualization and Exploratory Data Analysis.

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Course Fee

₹10,000

Course Duration

80 Instructor-led Hours

Expert Trainer

Trilochan Tarai

Experience

Ex-TCS & Ex-Majesco

Learning Tools

Python, Pandas, NumPy

Target Audience

B.Tech / MCA / BCA / Graduates

Duration is proposed. Confirm applicable taxes, payment terms and batch schedule with the admissions team.

Course Overview

This program introduces practical Python programming for data analysis. Learn to import, clean, transform and analyze datasets using industry-standard Python libraries.

Develop analytical thinking through statistics, exploratory data analysis, visualization and real-world business problems.

What You Will Learn

✓

Write Python programs for data analysis.

✓

Work with NumPy arrays and Pandas DataFrames.

✓

Clean and prepare real-world datasets.

✓

Perform univariate, bivariate and multivariate EDA.

✓

Create charts using Matplotlib and Seaborn.

✓

Calculate important business metrics.

✓

Generate meaningful insights from raw data.

✓

Build a portfolio-ready analytics project.

80 HOURS

Complete Course Curriculum

MODULE 0112 Hours

Python Foundations for Analysts

Google Colab and Jupyter Notebook
Variables, data types, operators and control flow
Functions, exceptions and debugging
Lists, tuples, dictionaries and sets
File handling, modules and packages
Python coding exercises

MODULE 0214 Hours

NumPy & Pandas Essentials

NumPy arrays and operations
Indexing, slicing and broadcasting
Pandas Series and DataFrames
Importing CSV and Excel files
Filtering, sorting and grouping
GroupBy, aggregation and pivot tables
Merge, join and concat
Datetime operations

MODULE 0310 Hours

Data Cleaning & Preparation

Data profiling and validation
Handling missing values
Removing duplicate records
Handling inconsistent data
Date and text formatting
Outlier detection using IQR and Z-score
Feature engineering
Data cleaning pipeline

MODULE 0420 Hours

Exploratory Data Analysis (EDA)

EDA workflow and business questions
Univariate analysis
Bivariate analysis
Multivariate analysis
Distribution and outlier analysis
Correlation and heatmaps
Matplotlib visualization
Seaborn visualization
Time-series analysis
Business insights and interpretation

MODULE 058 Hours

Statistics & Business Metrics

Mean, median and mode
Variance and standard deviation
Quantiles and percentiles
Correlation analysis
Sampling and confidence intervals
Hypothesis testing fundamentals
Revenue and average order value
Customer purchase frequency

MODULE 066 Hours

Data Visualization & Reporting

Choosing the right charts
Bar charts and line charts
Histograms and boxplots
Scatter plots and heatmaps
Introduction to Plotly
Data storytelling
Business reporting

MODULE 078 Hours

Real-World Capstone Project

Retail sales dataset analysis
Data importing and cleaning
Exploratory data analysis
Customer behavior analysis
Product performance analysis
Revenue trend analysis
Business recommendations
GitHub project documentation

MODULE 082 Hours

Career Readiness & Interview Preparation

Python interview questions
Pandas and NumPy exercises
EDA case-study discussion
Resume and GitHub guidance
Mock technical interview

Tools & Technologies

Python

Google Colab

Jupyter Notebook

NumPy

Pandas

Matplotlib

Seaborn

Plotly

Real-World Capstone Project

Retail Sales Performance & Customer Analytics

Analyze retail transaction data to discover sales patterns, product performance, customer purchasing behavior and business opportunities.

Dataset: UCI Online Retail Dataset

Project Questions

How do monthly sales change over time?
Which products generate the highest revenue?
Which countries contribute most to sales?
What is the average order value?
What patterns can be found in customer purchasing behavior?

Placement Assistance & Career Support

✓ Resume preparation guidance

✓ LinkedIn profile improvement

✓ GitHub portfolio guidance

✓ Python technical interview preparation

✓ Pandas and EDA interview exercises

✓ Mock technical interview

Placement assistance is intended to support job preparation. It does not guarantee interviews, offers or employment.

Assessment & Certification

Learners demonstrate their knowledge through Python assignments, data-cleaning exercises, EDA analysis, visualization tasks and the final capstone presentation.

Course completion certification is subject to attendance and assessment criteria.

Frequently Asked Questions

Do I need prior Python experience?

No. The course starts with Python fundamentals. Basic computer knowledge is recommended.

Which tools are covered?

Python, Google Colab, Jupyter Notebook, NumPy, Pandas, Matplotlib, Seaborn and introductory Plotly.

Will I work on real-world projects?

Yes. You will work on a retail sales analytics project using a public transactional dataset.

Is Machine Learning included?

This course focuses on Python Data Analysis and EDA. Machine Learning is a separate advanced course.

Will I receive a project for my resume?

You will develop a project notebook, documentation and visualizations that can be added to your portfolio.

Is placement guaranteed?

Career guidance and interview preparation may be provided. Employment is not guaranteed.

What is the course fee?

The listed course fee is ₹10,000. Applicable taxes and payment terms should be confirmed before enrollment.

What is the course duration?

The proposed instructor-led duration is 80 hours. Confirm the batch schedule with admissions.

Can working professionals join?

Yes, subject to available batch timings.

Will I get a certificate?

Course completion certification is subject to attendance and assessment criteria.

Enquiry / Enroll Now

Interested in learning Python for Data Analysis? Contact Silan Software to get information about upcoming batches and enrollment.

Course Fee: ₹10,000

Duration: 80 Instructor-led Hours (proposed)

Expert Trainer: Trilochan Tarai | Ex-TCS & Ex-Majesco

Learning Tools: Python, Pandas, NumPy

Phone: +91 9658317757

Website: www.silansoftware.com

Enquire Now →Call Now

Python for Data Analysis

Python for Data Analysis

₹10,000

80 Instructor-led Hours

Trilochan Tarai

Ex-TCS & Ex-Majesco

Python, Pandas, NumPy

B.Tech / MCA / BCA / Graduates

Course Overview

What You Will Learn

Complete Course Curriculum

Python Foundations for Analysts

NumPy & Pandas Essentials

Data Cleaning & Preparation

Exploratory Data Analysis (EDA)

Statistics & Business Metrics

Data Visualization & Reporting

Real-World Capstone Project

Career Readiness & Interview Preparation

Tools & Technologies

Real-World Capstone Project

Retail Sales Performance & Customer Analytics

Project Questions

Placement Assistance & Career Support

Assessment & Certification

Frequently Asked Questions

Enquiry / Enroll Now

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