Applied Data Science (Full Course)

💠💠About this Specialization💠💠
his action-packed Specialization is for data science enthusiasts who want to acquire practical skills for real world data problems. If you’re interested in pursuing a career in data science, and already have foundational skills or have completed the Introduction to Data Science Specialization, this program is for you!

This 4-course Specialization will give you the tools you need to analyze data and make data driven business decisions leveraging computer science and statistical analysis. You will learn Python–no prior programming knowledge necessary–and discover methods of data analysis and data visualization. You’ll utilize tools used by real data scientists like Numpy and Pandas, practice predictive modeling and model selection, and learn how to tell a compelling story with data to drive decision making.

⭐⭐⭐⭐🕑TIME STAMP📋⭐⭐⭐⭐⭐
👉 👉PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT
0:00:00 Types
0:03:02 Expressions and variables
0:06:57 String operations
0:10:56 Lists and tuples
0:19:47 Dictionaries
0:22:13 Sets
0:27:30 Conditionas and branching
0:37:47 Loops
0:44:33 Functions
0:58:05 Exception handling
1:01:55 Objects and Classes
1:12:47 Reading writing files with open
1:19:25 Pandas
1:24:35 Numpy in Python
1:43:12 Simple APIs
1:53:32 Rest APIs Webscraping and working with files

👉 👉PYTHON PROJECT FOR DATA SCIENCE
2:16:50 Optional intro to webscraping

👉 👉DATA ANALYSIS WITH PYTHON
2:26:50 Importing datasets
2:46:36 Data Wrangling
3:05:59 Exploratory data analysis
3:25:40 Model Development
3:53:05 Model Evaluation

👉 👉DATA VISUALIZATION WITH PYTHON
4:14:15 Introduction to Data Visualization Tools
4:40:54 Basic Visualization Tools
4:54:09 Specialized visualization Tools
5:06:58 Advanced Visualization tools
5:12:21 Visualizing Geospatial Data
5:21:40 Creating Dashboards with Plotly and dash

👉 👉APPLIED DATA SCIENCE CAPSTONE
5:39:10 Capstone introduction and understanding the datasets
5:42:19 Collecting the data
5:46:34 Data Wrangling
5:48:45 Exploratory analysis using SQL
5:50:46 Interactive visual analytics and dashboard
5:52:39 Predictive analysis classification
5:53:39 How to present your findings

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