Jupyter Notebook With Anaconda For Absolute Beginners

Learn & setup Jupyter Notebook with Anaconda for both Microsoft Windows & MacOS users! Beginners Guide for Data Science

What you'll learn

How to install Anaconda on Windows and Mac

Difference between Anaconda Navigator and Anaconda Prompt

What is Conda and MiniConda, and when to use them

How to add Conda to environment variables

Navigating and using Conda commands

Creating and activating environments

Launching and exploring Jupyter Notebook and JupyterLab

Writing and running your first Python code in Jupyter

Understanding the data science workflow starting point

Requirements

A working computer with internet access

Willingness to install free software (Anaconda)

No prior programming or tech experience required

Description

Are you curious about data science but have no idea where to begin? Feeling overwhelmed by the complicated tools and confusing setup instructions?Let us make things ridiculously easy for you."Jupyter Notebook with Anaconda For Absolute Beginners" is your zero to hero starting point — a hands-on, beginner-friendly course designed for those who’ve never written a line of code but want to explore the world of Python, data science, and machine learning.In today’s data-driven world, the ability to use tools like Jupyter Notebook and Anaconda isn't just optional — it's essential. Whether you're a student, job seeker, freelancer, or aspiring data analyst, these tools form the foundation of any modern data science workflow.This course gives you the complete setup guide and usage blueprint, saving you hours of painful trial and error. You’ll learn how to install Anaconda on both Windows and Mac, understand the difference between Navigator and Prompt, and work confidently in Conda environments — all without writing complex code.You’ll also discover how to launch and use Jupyter Notebook with ease. From creating your first notebook to writing your first lines of Python code — you’ll be guided step-by-step with practical demos, relatable examples, and simple explanations.This isn’t a boring theory-based course. It’s built to give you action, clarity, and confidence. You’ll go from “What’s Jupyter Notebook?” to “I’m ready to build my own data analysis project” in under 60 minutes.And here’s the truth:If you skip learning these tools now, you'll struggle later when trying to dive into Python, data analysis, AI, or machine learning. Every job-ready project, every coding course, and every online tutorial assumes you already know how to work with Jupyter Notebook and Conda.Don’t let confusion hold you back from entering one of the highest-paying tech fields today.Learn the foundational skills that every data scientist, analyst, and AI professional starts with — without wasting time, energy, or money.This course is 100% beginner-friendly. No coding experience? No problem. No technical background? We’ve got you. Everything is explained in plain English with clear visuals and easy-to-follow workflows.By the end of this course, you'll have the confidence to:Use Anaconda Navigator and Prompt fluentlyCreate and manage Conda environmentsLaunch and use Jupyter Notebook or JupyterLabRun Python code and organize notebooks like a proSet yourself up for deeper learning in Python, AI, ML, or data analyticsYour journey into the world of data starts here — all you need is the will to learn, and we’ll handle the rest.

Overview

Section 1: Best Data Science Tools

Lecture 1 Jupyter Notebook with Anaconda For Absolute Beginners (Promo)

Lecture 2 Why Anaconda & Jupyter Notebook?

Section 2: Jupyter Notebook Anaconda Installation

Lecture 3 Anaconda Installation on Windows

Lecture 4 Anaconda Installation on Macos

Section 3: Anaconda Navigator vs Prompt

Lecture 5 Anaconda Navigator

Lecture 6 Anaconda Prompt

Section 4: Basics of Conda & Mini - Conda

Lecture 7 Basics of Conda

Lecture 8 Basics of Mini - Conda

Lecture 9 Add Conda to Environment Variable

Section 5: Anaconda Navigator & Conda Workflow

Lecture 10 Conda Workflow - Command Tour

Lecture 11 Anaconda Navigator Tour

Section 6: JupyterLab and Jupyter Notebook

Lecture 12 Create & Activate Jupyter Notebook

Lecture 13 Writing First Codes in Jupyter Notebook

Lecture 14 Lauch & Explore Jupyter Lab

Lecture 15 Bonus

Absolute beginners in coding or data science,Students preparing for tech or analytics careers,Freelancers or job-seekers wanting practical skills,Non-tech professionals entering the data field,Anyone who struggles with Jupyter or Anaconda setup