Overview
Complete Data Analytics with Projects is a comprehensive guide on Data Analytics concepts, tools and projects. The contents of this app include:
1. Data Analytics basics and kickstart of Data analytics with projects series
2. Business Understanding — Data Driven Decision Making, Descriptive Analysis, Predictive Analysis, Diagnostic Analysis, Prescriptive Analysis
3. Data Analytics Ecosystem — Data Life Cycle, Data Analysis complete process ( most important things)
4. Probability, Conditional Probability, Binomial Distribution, Probability Density Function, Sampling Distribution
5. Statistics
6. Basic and Advanced SQL
7. Data Collection, Data Cleaning and Python
8. Pandas and Numpy
9. Data Manipulation
10. Data Visualization
11. Tableau
12. Data Analysis Projects
13. Categorical and Numerical Features
14. Missing Value Analysis
15. Fill the missing Values
16. Unique Value Analysis
17. Univariate Analysis
18. Bivariate Analysis
19. Multivariate Analysis
20. Correlation Analysis
21. Data Profiling
22. Feature Engineering
23. GroupBy Features
24. Linear Regression
25. Sort Values
26. Correlation Coefficients
27. Spearman’s ρ
28. Pearson’s r
29. Kendall’s τ
30. Cramér’s V (φc)
31. Phik (φk)
32. Standardization
33. Encoding
34. Indexing
35. Grouping
36. Sorting
37. Power BI
38. Performance Metrics
39. Linear Regression - Multi Linear Regression & Polynomial Regression
40. Regression - Support Vector Regression, Decision Tree Regression & Random Forest Regression
41. Classification - Naive Bayes & Random Forest e.t.c
Features
Data Analytics basics and kickstart of Data analytics with projects seriesBusiness Understanding — Data Driven Decision Making, Descriptive Analysis, Predictive Analysis, Diagnostic Analysis, Prescriptive AnalysisProbability, Conditional Probability, Binomial Distribution, Probability Density Function, Sampling DistributionData Collection, Data Cleaning and PythonData Manipulation & Data VisualizationTableauLinear Regression - Multi Linear Regression & Polynomial RegressionRegression - Support Vector Regression, Decision Tree Regression & Random Forest RegressionClassification - Naive Bayes & Random ForestCorrelation Coefficients, Standardization & PowerBI
Additional Information
- Developed by App Monster
- Version 2024.07.29
-
Requires
Available on: PC, Mobile, Surface Hub, HoloLens
OS: Windows 10 version 17763.0 or higher
- Published 2024-07-29
- Size 1.13 MB
- File Type appx/msix
-
Language
English (United States)
-
Permissions
Access your Internet connection
- Microsoft Store ID 9ppc7x39h7n8
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Method 1: Download and Install via the Microsoft Store
This is the most straightforward and secure way to get Complete Data Analytics with Projects.Step 1: Open the Microsoft Store
Step 2: Search for Complete Data Analytics with Projects
Step 3: Download and Install
Step 4: Access the App
Method 2: Download from the Official Microsoft Website
If you prefer downloading directly from the web, you can use the official Microsoft website.Step 1: Visit the Complete Data Analytics with Projects Page
Step 2: Download the App
Step 3: Install Complete Data Analytics with Projects
Step 4: Use Complete Data Analytics with Projects
Tips for a Smooth Installation
Conclusion:
Both methods ultimately utilize the Microsoft Store, ensuring the app's safety and reliability. Whether you prefer browsing within the Store or starting via the website, both approaches lead you to successfully download and install Complete Data Analytics with Projects.Complete Data Analytics with Projects FAQs
How to download and Install Complete Data Analytics with Projects on Windows PC via the NWindows Store
How to Search and Download Complete Data Analytics with Projects for PC Windows?