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

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

[yonatanabrham]

what an amusing course, thank you for sharing your knowledge

[ggggg]

Thank you for great course in Python - loved that it contained coding, data analytics, visualization, AB testing and complete/detailed projects! ❤

[ayoajayi]

Please how can i download the dataset used for this course. Where is the link for the dataset

[aeligos]

Hi can you help me create a stock tracker app on python??
Thanks.

[AmitYadav-vbbs]

Could you please make an interview series for data analyst

[MarioRossibless]

Thank you for your class. very explicative.

[aliksargsyan]

Good explanation armenian beautiful girl😊 ❤❤❤❤❤

[rajm]

ma'm how to write those special characters in jupiter notebook header~=~0