Advanced Data Analytics using Python & Python Automation Full Course | ZaranTech

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🔥🔥In this video, you will learn about Advanced Data Analytics using Python & Python Automation Full Course, which will help you to Improve forecasting through predictive modeling

👉 Here are the topics covered in this video on Advanced Data Analytics using Python & Python Automation Full Course
00:00:00 - Introduction
00:18:58 - Difference between linear and logistic regression
00:45:49 - Explaining overfitting and the importance of testing and training data
01:14:57 - Handling Missing Values in Data Analysis
01:46:15 - Performing prediction and concatenation of data
02:11:07 - Understanding data categorization and classification through Python
02:49:40 - Finding optimal K value for model accuracy
03:24:42 - Different accuracy scores for KNN and Gaussian NB models
03:59:32 - Exploring misclassifications in data analysis
04:29:37 - Decision tree based on weather conditions
05:02:46 - Understanding data picking in decision trees
05:23:44 - Explanation of confusion matrix with example
05:32:51 - Calculating weighted average for precision, recall, and F1 score

✅ What Is Advanced Data Analytics using Python & Python Automation?
Advanced Data Analytics using Python involves using Python's powerful libraries and tools to analyze and interpret complex data sets. This includes techniques like statistical analysis, machine learning, data visualization, and predictive modeling.

✅ About the Advanced Data Analytics using Python & Python Automation Full Course
Master Advanced Data Analytics by Solving Real-Life Analytics Problems using Python. Learn all about Python Automation from Web Scraping and Browser Automation to Excel, Word, and GUI Automation. Data analysts exist at the intersection of information technology, statistics, and business. They combine these fields to help businesses and organizations succeed. The primary goal of a data analyst is to increase efficiency and improve performance by discovering patterns in data.

✅ Benefits of this Advanced Data Analytics using Python & Python Automation Full Course
👉 Improved forecasting through predictive modeling
👉 Strategic guidance from insights like cohort analysis and data mining
👉 Risk reduction by assessing potential pitfalls with predictive models
👉 Enhanced data visualization for accessible insights
👉 Automation of routine tasks like data collection and report generation

✅ Features of this Advanced Data Analytics using Python & Python Automation Full Course
👉 Course Duration - 34 Hours
👉 Assessments
👉 Lab Documents
👉 Certification Q & A
👉 Course Completion Certificate
👉 eBooks
👉 Certification Guides
👉 Configuration Docs
👉 Cheat Sheet

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