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GreaterHeight Technologies LLC ~ GreaterHeight Academy
  • All Courses
    • BI and Visualization
      • Mastering Data and Business Analytics
        • Basic Excel for Data Analysis
        • Intermediate and Advanced Excel for Data Analysis
        • Excel for Business Analysis & Analyst
        • PivotTable, PowerPivot, PowerQuery & DAX for Data Analysi
        • Data Analytics and Visualization with Tableau
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        • Data Analytics and Visualisation with PowerBI
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        • Basic Excel for Data Analysis
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        • PivotTable PowerPivot, PowerQuery & DAX for Data Analysis
        • Excel for Data Analysis and Visualization
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Python Statistics Essentials For Data Science


GreaterHeight Academy designed this course to help 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.


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Python Statistics Essential For Data Science



Who this course is for:

  • People who want a career in Data Science whether from Technical as well as non-Technical domain.
  • People who want to start learning statistics For Data Science.
  • Anybody who wants to get hands-on experience with stats.


What you will Learn:

  • Understand the fundamentals of statistics.
  • Understand the Stats concepts needed for data science using Python.
  • Get hands-on stats.
  • Distinguish and work with different types of distributions.
  • Calculate the measures of central tendency, asymmetry, and Skewness in Data.
  • Under-stand Hypothesis Testing & its use-cases too.
  • if you do have a math background, you’ll definitely enjoy this fun, hands-on method.

Course Benefits & Key Features

Python Statistics Essential For Data Science Course’s benefits and key features.
Modules

30+ Modules.

Lessons

80+ Lessons

Practical

40+ Hands-On Labs

Life Projects

5+ Projects

Resume

CV Preparations

Job

Jobs Reference

Recording

Session Recording

Interviews

Mock Interviews

Support

On Job Supports

Membership

Membership Access

Networks

Networking

Certification

Certificate of Completion


INSTRUCTOR-LED LIVE ONLINE CLASSES

Our learn-by-building-project method enables you to build

practical or coding experience that sticks. 95% of our                        

learners say they have confidence and remember more               

when they learn by building real world projects which is                

required to work in your real life.


  • Get step-by-step guidance to practice your skills without getting stuck
  • Validate your technical problem-solving skills in a real environment
  • Troubleshoot complex scenarios to practice what you learned
  • Develop production experience that translates into real-world
.


GreaterHeight Certificates holders are prepared to work at companies like these.

Some Alumni Testimonies

Investing in the course "Become a Data Analyst" with GreaterHeight Academy is great value for the money and I highly recommend. The trainer is very knowledgeable, very engaging, provided us with quality training sessions on all courses and was easily acessible for queries. We also had access to the course materials and also the timely availability of the recorded videos made it easy and aided the learning process..

QUEEN OBIWULU

Team Lead, Customer Success

The training was fantastic, the instructor is an awesome lecturer, relentless and not tired in his delivery. He obviously enjoys teaching, it comes natural to him. We got more than we expected. He extended my knowledge of Excel beyond what I knew, and the courses were brilliantly delivered. They reach out, follow up, ask questions, and in fact the support has been great. They are highly recommended and I would definitely subscribe to other training programs from them.

BISOLA OGUNRO

Fraud Analytics Risk Oversight Manager

It's one thing to look for just a Data Analysis training, and it's another to get the knowledge transferred through certified professional trainers. No matter your initial level of proficiency in any of the Data Analysis tools, GreaterHeight Academy would meet you there and take you up to a highly proficienct and confident level in a short time at a reasonable pace. I learnt a lot of Data Analysis tools and skills at GreaterHeight from patient and resourceful teachers.

TUNDE MEREDITH

Operation Director - Abbfem Technology

The Data Analysis training program was one of the best I have attended. The way GreaterHeight took off with Excel and concluded the four courses with Excel was a mind blowing - it was WOW!! I concluded that I'm on the right path with the right mentor to take me from a novice to professional. GreaterHeight is the best as far as impacting Data Analysis knowledge is concern. I would shout it at the rooftop to recommend GreaterHeight to any trainee that really wants to learn.

JOHN OSI PETER

Greaterheight

I wanted to take a moment to express my deepest gratitude for the opportunity to study data analytics at GreaterHeight Academy. I am truly impressed by the level of dedication and support that the sponsor and CEO have put into this program. GreaterHeight Academy is without a doubt the best tech institution out there, providing top-notch education and resources for its students. One of the advantages of studying at GreaterHeight Academy is the access to the best tools and technologies in the field. 

AYODELE PAYNE

Sales/Data Analyst

It is an unforgettable experience that will surely stand the test of time learning to become a Data Analyst with GreaterHeights Academy. The Lecture delivery was so impactful and the Trainer is vast and well knowledgeable in using the applicable tools for the Sessions. Always ready to go extra mile with you. The supports you get during and after the lectures are top notch with materials and resources available to build your confidence on and off the job.

ADEBAYO OLADEJO

Customer Service Advisor (Special Operations)

Python Programming Certification Course Training

Greaterheight Academy's Python Statistics for Data Science course is designed to provide learners with a comprehensive understanding of how to perform statistical analysis and make data-driven decisions. Through a series of interactive lessons and hands-on exercises, you will learn how to conduct hypothesis testing, perform regression analysis, and many more. This course is ideal for anyone looking to enhance their data science skills and gain a deeper understanding of statistics. This course will provide you with the knowledge you need to succeed in the rapidly growing field of data science.

WEEK 15-16 | 6 Modules | 10+ Hours | 6 Skills

Course Modules


  1. Introduction to Data Types
  2. Numerical parameters to represent data         

a. Mean           

b. Mode          

c. Median          

d. Sensitivity          

e. Information Gain          

f. Entropy

      3. Statistical parameters to represent data

  1. Uses of probability
  2. Need of probability
  3. Bayesian Inference
  4. Density Concepts
  5. Normal Distribution Curve

  1. Point Estimation
  2. Confidence Margin
  3. Hypothesis Testing
  4. Levels of Hypothesis Testing

  1. Association and Dependence
  2. Causation and Correlation
  3. Covariance
  4. Simpson’s Paradox
  5. Clustering Techniques

  1. Parametric Test
  2. Parametric Test Types
  3. Non- Parametric Test
  4. Experimental Designing
  5. A/B testing

  1. Logistic and Regression Techniques
  2. Problem of Collinearity
  3. WOE and IV
  4. Residual Analysis
  5. Heteroscedasticity
  6. Homoscedasticity

PYTHON STATISTICS ESSENTIALS FOR DATA SCIENCE 

COST


United States

$349.99

United Kingdom

£299.99

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Python Programming Certification Course Trainng

  • 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

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

  • 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.

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Most of our training courses are accredited by the respective governing bodies.

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All our training courses are assured & scheduled dates are confirmed to run by SME.

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We have well equipped and highly experienced instructors to train the professionals.

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