Description

📋 Course Introduction

Ready to dive into the world of data?
Our Linux and Python for Data Analysis training is designed for total beginners and tech enthusiasts who want to build a strong, practical foundation in data handling and automation.

Whether you’re aiming for a data analyst career, enhancing your tech skills, or stepping into data-driven roles, this course will fast-track your journey — 100% remotely, project-based, and tailored for your personal pace.

No prior experience needed. You’ll start from scratch, and in just a few weeks, you’ll be working on real-world data projects with confidence.

🎯 What You Will Learn (Takeaway)

• Master Python basics for data analysis

• Work comfortably with Linux commands and environment

• Understand data manipulation using libraries like Pandas, Numpy and more

• Perform real-world data cleaning, sorting, and analysis

• Build and run projects from scratch

• Bonus introduction to bash scripting essentials

🕒 Training Timing and Flexibility

• Training maximum hours per day: 2 hours

• Training minimum days per week: 2 days

• Training maximum days per week: 3 days

Remote & Flexible:

• Learn from anywhere — home, travel, your comfort zone.

• Schedule sessions based on your free time.

• Ask any question freely during one-on-one sessions.

• Learn at your pace without fear of group pressure.

Course Curriculum:

Linux for Data Analysis Section

1. Linux Basics for Analysts

• Overview of Linux distributions and terminal usage

• Understanding the Linux file system

• Essential commands: cd, ls, cp, mv, rm, mkdir, touch, clear and more.

• File viewing tools: cat, more, less, head, tail

2. Working with Files and Permissions

• File types and extensions

• File permissions: chmod, chown, umask

• Directory management and navigation tips

• Viewing disk usage: du, df

3. Text Processing and Filtering

• Use of grep, awk, sed, cut, sort, uniq, wc, tr, paste, column

• Cleaning and preparing text data from files and logs

• Redirection and piping: |, >, >>, <

4. Working with CSV, JSON, and Log Files

• Tools to preview and process data files

• Extracting structured data using command-line tools

• Working with jq for JSON processing

5. Environment and Shell Scripting

• Using variables and shell functions

• Writing and executing bash scripts

• Automating simple data-related tasks

• Job scheduling using cron

6. Installing and Managing Tools

• Working with APT and pip

• Installing Python and data analysis tools from the command line

Python for Data Analysis Section

1. Python Basics for Analysts

• Understanding dynamic typing and syntax

• Writing Python statements and using indentation

• Variables, identifiers, and data types

• Python comments and clean code practices

2. Data Structures and Control Flow

• Numbers, strings, lists, tuples, dictionaries, sets, booleans

• Conditional logic: if, else, elif

• Looping: for, while, and list comprehensions

• Error handling: try, except

3. Functions and Built-ins

• Defining and calling functions

• Built-in functions: enumerate, range, sorted, zip, etc.

• Lambda, map, filter, and understanding *args/**kwargs

4. File Handling and Automation

• Reading and writing to files (text, CSV, JSON)

• Automating system tasks using os, shutil, subprocess and more.

• Creating reusable scripts for file operations

• REGEX

5. Data Analysis with Python

• Introduction to pandas and numpy

• Data cleaning and preprocessing

• Working with missing data and data types

• Filtering, sorting, grouping, and aggregating data

6. Data Visualization

• Plotting with matplotlib and seaborn

• Line, bar, scatter, histogram, and box plots

7. Working with External Data

• Reading data from CSV, Excel, SQL, txt and JSON files

• Consuming APIs using requests

• Introduction to Postman for API testing

8. Mini Projects and Challenges

Final personalized project and recommendations.

Why Enroll in Our Linux and Python for Data Analysis Training?

Personalized Learning:
You get a one-on-one private training session, crafted to match your personal pace and understanding.

Practical Project Building:
Right from the basics, you’ll start creating real, tangible projects — the best way to learn data analysis.

No Tech Background? No Problem:
We start from absolute zero and move to an intermediate working level fast.

Freedom to Learn:
Classes adjust to your busy life — morning, evening, weekday, weekend — your choice.

🎁 Extra Benefits

• A dedicated student user account for resource access (subject to terms and conditions)

• Real-time project file creation during lessons

• Access to PDF and audio files at different learning stages

• A certificate of completion upon passing all quizzes and assessments

• Email alerts and training updates during your course

• Lifetime access to the course content (as long as it exists on the website)

🏆 Bonus-Packed Training

Besides Data Analysis, you’ll also get introductory knowledge on:

• Bash scripting basics

• Linux server usage

• Git and GitHub fundamentals

These skills are essential for modern data professionals and tech specialists!

This is a 100% remote, live, online training, and the software for classes currently is google meet app.  Kindly read site terms and condition as well for more information.

For more information and free consultation, chat with a tutor on WhatsApp right away.