Statistics Essentials for Analytics.

What is Statistics Analytics

Statistics is a branch of mathematics that is concerned with collecting, organizing, and interpreting data to represent specific characteristics. Statistics is presumed as the science of learning from data, which acts as a measure of attributes of a given sample.

The data leveraged here can be qualitative (categorical) or quantitative (continuous or discrete type). By using Statistics for Data Analytics, organizations can find trends and patterns within data, which are then applied to practical use cases for business growth. The main objective is to solve strenuous problems that could not have been possible without data. When you complete our Statistics Essentials for Analytics Online Training you will master statistics analytics.

When you use Statistics Analytics

It helps Data Scientists to build complex models that can generate insights into Big Data and help companies optimize business operations effectively. Although Statistics have been a part of business decisions for decades, the exponential growth of data, computation and advancements in Data Science led to the proliferation of Statistics with Big Data.

About The Statistics Essentials for Analytics Course

The self-paced Statistics Essentials for Analytics Course has been designed in such a manner that it is easy for a future Data Scientist to get a solid foundation on the concepts. The complete mechanism of Data Science is explained in detail in terms of Statistics and Probability. Data and its types are discussed along with different kind of sampling procedures.

Other essential concepts of Statistics (statistical inference, testing, clustering) are emphasized here as well since that’s a very important part of being a Data Scientist. In addition, you will be introduced to primary machine learning algorithms in this Course.

Course Objectives

After the completion of this course, you should be able to:

• Analyze different types of data
• Master different sampling techniques
• Illustrate Descriptive statistics
• Apply probabilistic approach to solve real life complex problems
• Explain and derive Bayesian inference
• Understand Clustering techniques
• Understand Regression modelling
• Master Hypothesis
• Illustrate Testing the data

Who should go for this course?

The Statistics Essentials for Analytics course is designed for all those who want to learn essential statistics required for Data Science and Data analytics. The curated statistics course will help you form a strong foundation for the Data Science and predictive modelling (nowadays Machine Learning) field.

The following professionals can go for this Statistics Essentials for Analytics course:

• Developers aspiring to be a 'Data Scientist'
• Analytics Managers who are leading a team of analysts
• Business Analysts who want to understand Machine Learning (ML) Techniques
• Information Architects who want to gain expertise in Predictive Analytics
• 'R' professionals who want to captivate and analyze Big Data
• Analysts wanting to understand Data Science methodologies