Python for Data Science and Data Analytics Full Hands On Learning with Projects Full Course

Unlock the power of Python for data analytics and data science in this comprehensive hands-on course, essential for anyone aspiring to excel in data-driven fields. Dive deep into exploratory data analysis (EDA), A/B testing, and customer insights to master practical techniques required in today's data-centric world.

🚨 Launch Your Data Science Career with LunarTech.AI! 🚨

🐍📊 Master Data Analytics and Data Science Techniques in 2024

This all-inclusive guide introduces Python programming concepts and techniques essential for executing real-world data projects.

Key Features:

📈 Hands-on Projects: Progress from foundational EDA to advanced A/B testing and customer segmentation.
🚀 Practical Focus: Understand how Python powers data analytics and visualization, driving insights for decision-making.
🔮 2024 Relevance: Stay ahead with a curriculum tailored to the latest trends and techniques in data science.

Ideal For:

💡 Aspiring data scientists and data analysts
💪 Anyone seeking to enhance their data analysis skills using Python

🎁 Free Resources:

🖥️ Resources and Courses to get into Machine Learning

👤 Meet Your Instructor: Tatev Aslanyan

🔔 Connect with Us:

[00:00:00] - Introduction
[00:07:37] - Part 1: Python for Data Science and Analytics
[00:23:47] - Part 1: Data Exploration and Preprocessing
[00:38:09] - Part 1: Filtering, Sorting, Grouping
[00:59:03] - Part 1: Descriptive Statistics
[01:15:14] - Part 1: Merging & Joins
[01:36:39] - Part 1: Data Visualization in Python
[01:59:32] - Part 2: AB Test Crash Course - Theory
[02:36:22] - Part 3 Project 1: Data Analytics and Data Science Project
[02:39:12] - Part 3 Project 1: Experimental vs. Control Set up
[02:50:24] - Part 3 Project 1: Data Analytics in A/B Testing
[03:13:33] - Part 3 Project 1: Parameters for A/B Testing
[03:21:16] - Part 3 Project 1: Analyzing A/B Test Data
[03:41:49] - Part 3 Project 1: Statistical Outputs Explained
[04:00:06] - Part 3 Project 1: Concluding A/B Test Results and Case Study
[04:08:50] - Part 3 Project 2: - Superstore Data Analytics Project
[04:14:20] - Part 3 Project 2: Superstore Customer Segmentation
[04:15:30] - Part 3 Project 2: Revenue by Customer Segment
[04:20:04] - Part 3 Project 2: Customers Sales Insights
[04:28:13] - Part 3 Project 2: Exploring Customer Loyalty at Superstores
[04:41:56] - Part 3 Project 2: Superstore Shipping Strategies
[04:46:17] - Part 3 Project 2: Geographic Market Analysis
[04:53:05] - Part 3 Project 2: Product Performance Insights
[05:03:12] - Part 3 Project 2: Comprehensive Sales Analysis
[05:05:55] - Part 3 Project 2: Tracking Sales Trends
[05:21:39] - Part 3 Project 2: Visualizing Sales by State

#PythonForDataScience #DataScience #ABTesting #DataAnalytics #PythonProgramming #DataVisualization #CustomerSegmentation #StatisticalAnalysis #SuperstoreAnalytics #SalesTrends

[Oliverrop-xy]

As soon as I completed the demo part i subscribed right away. This is because the video provides statistical insights and A/B testing and case study project application to help us understand. Something lacking in other tutorials. Thank you LunarTech. I love you already

[kebincui]

The best course of Python for Data Science and Data Analytics 👍👍

[gospelmoto]

I can imagine the time and effort invested in making this video. This deserves more than liking and subscribing. Many Thanks!

[sethbaah]

Waw. This is a full masters program. You have saved me thousands of dollars. God richly bless you and your entire team.

[gaddafisuleiman]

Your lessons are very helpful. I check your channel everyday.
One problem. It's hard to see what you're doing. Zoom in the screen, at least.

[Arsh_Tech_]

Mam you are awesome all videos give us goosebumps

[mn-lcem]

Speaker needs orthofonic exercise.
To open wide at poronuncetion

[nishikantanayak]

Thanks for the video mam reallly helpful

[hamidraza]

Amazing video. Love from Lahore Pakistan

[HrithickBarani]

For last part: Creating map to analyze sales, Code for that part is not provided. Could you please check on that. Thankyou!

[aafiyahcorner]

It is very helpful. Could you please share the data you use in that material so that we can try practice directly? Thanks in advances.

[aniket]

Umm like everything is soo good but if u had regressions it WOULD be so GOOD

[sabiha]

Is it full course?Does it cover every aspects of machine learning?

[bharatns]

can we use the google colab to practise i should use pycharm
like as you shown in your video

[gabrielmoses]

How do we get the dataset you are using

[kamalahasanmoorthy]

"*God Bless Everyone Take care all long Lives 100 years and above all*"