Complete course of Data Science Analytics with Python totally free of Cost

Data Analytics:-

• Data Analytics is defined as the process of investigation of datasets to pull out the conclusions about the information they contain.
• Data analytic is a method to enable you to take raw data and expose design to get valuable comprehension from it.
• Data Analytics give ideas to individuals and organizations for making sense of data.
• They use many different tools and methods that helps organizations to make decisions and succeed.

Types of Data Analytics:

1. Descriptive data analytics
2. Diagnostic data analytics
3. Predictive data analytics
4. Prescriptive data analytics

Tools used by Data Analyst:

1. Statistical analysis tools.
2. General-purpose programming languages.
3. Standalone predictive analytics tools
4. Data modeling tools
5. ETL tools
6. SQL consoles

From this book you will learn these topics in detail:

• Data science with their relationship
• Data science workflow
• A plot generated by matplotliblity
• How to measure the distance between points A and B
• The curse of dimensionality
• Data Clustering
• Algorithms and applications
• Data Mining
• Data mining in marketing
• Data Science and Analytics With Python
• Healthcare data analytics
• Technologies for Web applications
• Machine learning engineering system and health management
• Music Data mining
• Data Mining use cases with business analytics applications
• Relational data clustering
• Vector machines
• Text mining classifications
• Clustering and applications of text mining
• Visualization of text mining
• Algorithm of text mining