Statistics Essentials for Analytics Online Training | Edureka
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Statistics Essentials for Analytics

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A self-paced course that helps you to understand the various Statistical Techniques from the very basics and how each technique is employed on a real world data set to analyze and conclude insights. Statistics and its methods are the backend of Data Science to "understand, analyze and predict actual phenomena". Machine learning employs different techniques and theories drawn from statistical & probabilistic fields.
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Online self - paced learning

Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You'll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.
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Objectives: At the end of this Module, you should be able to:
  • Understand various data types
  • Learn Various variable types
  • List the uses of variable types
  • Explain Population and Sample
  • Discuss sampling techniques
  • Understand Data representation

Topics:
  • Introduction to Data Types
  • Numerical parameters to represent data
  •           a. Mean  
              b. Mode 
              c. Median 
              d. Sensitivity 
              e. Information Gain 
              f.  Entropy
  • Statistical parameters to represent data
Objectives: At the end of this Module, you should be able to:
  • Understand rules of probability
  • Learn about dependent and independent events
  • Implement conditional, marginal and joint probability using Bayes Theorem
  • Discuss probability distribution
  • Explain Central Limit Theorem

Topics:
  • Uses of probability
  • Need of probability
  • Bayesian Inference
  • Density Concepts
  • Normal Distribution Curve
Objectives: At the end of this Module, you should be able to:
  • Understand concept of point estimation using confidence margin
  • Draw meaningful inferences using margin of error
  • Explore hypothesis testing and its different levels

Topics:
  • Point Estimation
  • Confidence Margin
  • Hypothesis Testing
  • Levels of Hypothesis Testing
Objectives: At the end of this module, you should be able to:
  • Understand concept of association and dependence
  • Explain causation and correlation
  • Learn the concept of covariance
  • Discuss Simpson’s paradox
  • Illustrate Clustering Techniques

Topics:
  • Association and Dependence
  • Causation and Correlation
  • Covariance
  • Simpson’s Paradox
  • Clustering Techniques
Objectives: At the end of this module, you should be able to:
  • Understand Parametric and Non-parametric Testing
  • Learn various types of parametric testing
  • Discuss experimental designing
  • Explain a/b testing

Topics:
  • Parametric Test
  • Parametric Test Types
  • Non- Parametric Test
  • Experimental Designing
  • A/B testing
Objectives: At the end of this module, you should be able to:
  • Understand the concept of Linear Regression
  • Explain Logistic Regression
  • Implement WOE
  • Differentiate between heteroscedasticity and homoscedasticity
  • Learn concept of residual analysis

Topics:
  • Logistic and Regression Techniques
  • Problem of Collinearity
  • WOE and IV
  • Residual Analysis
  • Heteroscedasticity
  • Homoscedasticity
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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.

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

The 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 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

No prerequisites are required for this course.

Statistics and its methods are the backend of Data Science to "understand, analyze and predict actual phenomena". Machine learning employs different techniques and theories drawn from statistical & probabilistic fields. This Statistics Essentials for Analytics Course enables you to gain knowledge of the essential statistics required for analytics and Data Science, understand the mechanism of popular Machine Learning Algorithms like K-Means Clustering, Regression. The course also takes you through the glimpse of hypothesis testing and its methods enabling you perform test on alternative hypothesis.

Edureka’s Proficient in Statistics Certificate Holders work at 1000s of companies like

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I have been subscribing to Edureka's courses for almost a year now, primarily related to Big Data and Data analytics. These courses have helped me to gain that competitive edge which is required at the job. Also, their courses cover a breadth of topics and range from computer programming languages like Java to Data Visualisation. There is also constant updation done on these courses, and you can talk to their support staff at any time for any assistance. I found the faculties very knowledgeable, and all the courses that I enrolled in were delivered in a very detailed and professional manner. For any person looking for online training, I can recommend Edureka without hesitation.

Chandra Bhushan K link IT Consultant, Architect - Analytics in Karmanya Software Pvt Ltd, Hyderabad Area, India

Edureka has redefined the e-learning service with the help of technology. They have excellent faculty and support team that has given a real class room learning experience. Anybody can upgrade their skills at their convenience! Edureka has expertise in Big Data Analytics and they are providing opportunity to acquire these skills in a short time!

Muralidhar Gaddam link DevOps Professional, Project/Program Management Corporate Trainer

I got full value from Edureka's DevOps course. I had to come out of my comfort zone as I was expecting a lot theory but this had continuous Lab/practice by the trainer in all trending tools - GIT, GitHub, Jenkins, Docker, Puppet & Nagios. Trainer was very knowledgeable and helpful. High technical content/slides. Timing was great due to promotion offer for free self-paced Chef & Ansible & Jenkins-indepth modules. Sometimes had to ask trainer to slow down and some install commands were failing at times but these were were minor as I learned how to handle such issues. Am now all set to work/manage with confidence in a DevOps environment. Edureka had also called me prior to the training to capture my needs.

Karunakar Reddy link Senior System Analyst at Santander UK

Edureka has very good instructors and technical support team, I have completed the course BIG DATA & AWS through web training, and it was very good training, helped me to learn very swiftly. When I stuck up in installation and in writing map reduce programming technical support resolved very quickly and I was very happy with their response in time. As well as they providing life time access for our completed course videos so it will be useful in real time projects. I feel very happy to recommend Edureka for my friends on big data course.

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A total Hands Down!!! Teaching 5/5, Tech Support 5/5, Quality of education 5/5. This is by far 1 stop solution for your studies. I took Python course and was amazed by the teaching. Amazing teachers and course material. 24x7 support for even small queries now that's what I call a pure dedication. I love the whole edureka team. You just got a permanent customer Edureka. Thank you for all the small and big things you did for me. A special thanks to sales team for going out of the way to help me understand the course module and providing me with wonderful offers ;) Cheers:)

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Edureka is most successful Instructor led online course institute. I completed many courses i.e. TOGAF, Big Data and Hadoop, MongoDB, Apache Spark, Apache Storm, PMP Preparation, Business Analytics with R , and Data Science from Edureka. Going forward i am planning to do additional courses as well when time permits. Course content is perfect to begin with new or advance in career and Instructors are also very highly knowledgeable. I recommend everyone to try courses from Edureka, thousands are satisfied and daily making improvement in their profession.

Gopinath link SAP Architect Consultant, IBM India Pvt Ltd, Bengaluru, Karnataka, India

I attended the demo session without any intention of joining a course. But the demo class was so impressive that I changed my mind to take a class with edureka. In the demo class the edureka! team making their word true with assisting doubts as well as teaching good. It's the best place to learn Andorid with 24*7 post class support from technical experts and at a affordable cost. Thank You Team edureka!

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Structure your learning and get a certificate to prove it.
The practicals are shown in 'R' which is a open-source analytics tool. The step-wise set-up guide for R will be provided to you.

Course Duration

You will undergo self-paced learning where you will get an in-depth knowledge of various concepts that will be covered in the course.

Real-life Case Studies

Towards the end of the course, you will be working on a project where you are expected to implement the techniques learnt during the course.

Assignments

Each module will contain practical assignments, which can be completed before going to next module.

Lifetime Access

You will get lifetime access to all the videos,discussion forum and other learning contents inside the Learning Management System.

Certification

edureka certifies you as an expert in Statistics based on the project reviewed by our expert panel.

Forum

We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.
To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.
All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience.
You can Call us at +91 98702 76457 /1844 230 6362 ( US Tollfree ) OR Email us at sales@edureka.co . We shall be glad to assist you. 
For payments done using credit cards, to make this a No Cost EMI offer, the interest amount will be discounted from the price of the course. Your card will be charged for the course price minus the discounted interest. The total amount you will pay to the bank (excluding GST) will be equal to the price of the course. The bank will charge GST on the interest amount. For payments done using Razor Pay EMI, the price will not be discounted upfront. Instead, you will not be charged any interest for a No Cost EMI offer.
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