Data Science Series – Level III

 Statistics for Data Analytics & Data Science 

Descriptive, Inferential, Predictive & Prescriptive Statistics

[ultimate_ctation ctaction_background=”#dda146″ ctaction_background_hover=”rgba(2,61,105,0.5)” ctaction_padding_left=”30″ ctaction_padding_right=”30″]

Course Objective

Comprehensive program to obtain solid foundation in descriptive, inferential, predictive & prescriptive statistical concepts as well as data analytics and interpretation.

All fundamental concepts in Statistical Significance Hypothesis testing like t-test, ANOVA, Regression, Chi Square will be covered as well as predictive modeling using Regression, Classification etc .[/ultimate_ctation]

[ultimate_ctation ctaction_background=”#dda146″ ctaction_background_hover=”rgba(2,61,105,0.5)” ctaction_padding_left=”20″ ctaction_padding_right=”20″]

Suitable For

For executives and researchers engaged in Data Analytics, Interpretation & Reporting for performance Measurement, Quality, Innovation, Forecasting across different  Industries.

It is a Must for those aspiring to work in the field of Data Science, Machine Learning & AI as it provides a robust foundation in creating advanced and effective ML and AI models and applications.[/ultimate_ctation]

Ambeone’s  ‘Statistics for Data Analytics & Data Science ‘  Course provides comprehensive training in Statistics fundamentals & will help you in basic as well as advanced Data Analytics & Interpretation in any Business Domain. It will also create strong foundation for a career in Data Science, Big Data Analytics, Machine learning and Artificial Intelligence.

The program aims to introduce participants to the all the important concepts in Descriptive, Inferential as well as Predictive statistics as well as its prescriptive application in business and research.

Statistics is an over-looked gem in the corporate world. Maybe because it was always thought to belong to academia, where conclusions to hypothesis needed to meet precise thresholds. While in the corporate world, decisions were made based on the intuition of the experience. Or maybe because there just wasn’t enough data or technological capabilities to warrant decisions being made based on results of precise statistical models.

However, today with the Big Data revolution, leading companies around the world are employing advanced statistical methods to guide their growth in business. Everywhere you look, there is data. Correctly applying the right statistical methods and techniques is the key to unlocking the power hidden in data.

In our Foundation in Statistics Certification, we will cover all basic concepts in statistics which creates strong foundation in analytics and interpretation of data accurately.

Ambeone recognized as Leading Data Science Trainers
Ambeone recognized as Leading Data Science Trainers

Foundation in Statistics Certification Concepts and Techniques Covered

  • Principles of Statistical Data Analysis
  • Understanding sources of data
  • Types of Variables
  • Measures of Central Tendency
  • Measures of Dispersion
  • Random Variables
  • Sampling Techniques & Estimation
  • Sampling Strategies & Experimental Designs
  • Probability Distributions
  • Binomial, Normal, t, F, Chi Square Distributions
  • Statistical Inferences using Hypothesis Testing
  • Z-test, t-test, Chi Square tests
  • Correlation and Regression
  • ANOVA, MANOVA
  • Foundations of Statistical Modeling
  • Non-Parametric tests

Once you have mastered employing these Statistical Techniques & Models, you will gain keen clarity in coming up with conclusions and making decisions for a variety of business applications. Furthermore, you will become confident in making business recommendations, after all, look at the numbers!

Also, we are pretty sure you will be interested in continuing your journey and going beyond the limitations of spreadsheets and into the creative and advanced world of Data Science, Big Data Analytics & Predictive Modeling!

LevelCourse NameKnow More
Level IFundamental of Data Analytics & Interpretation ,Simple Measures of Data Click here
Level IIBusiness Intelligence & KPI Measurement using StatisticsClick here
Level IIIStatistics for Data Analytics & Data ScienceClick here
Level IVBig Data Analytics &  Visualization with R Click here
Level VAdvanced Data Mining & Manipulation with Python Click here
Level VIPredictive Modeling & Evaluation with Machine Learning Click here
Level VIIAdvance Machine Learning and Artificial Intelligence with R & PythonClick here
Level VIIIApplied Analytics-Using Data Science & Machine Learning in Business AnalyticsClick here
Level IXNeural Network & Unsupervised Learning for Advanced AIClick here

Course Duration

32 Hours of Instructor Led Sessions

+

40 Hours of Case Studies & Assignments

Course Format

Five days intensive Bootcamps/Workshops for Corporate batches

or

Weekend Sessions for Public batches

Course Pre-requisite

Participants in this course must have completed our course on Fundamentals of Data Analytics  

or

Must demonstrate good understanding of the topics by passing an examination prior to course registration

It will also be beneficial if the course participants have some business and analysis experience in order to understand applications of statistical techniques in business environments.

Foundation in Statistics Training Course Schedule

Course Course FormatStart Date DurationRegister
Business Analytics Course
Weekday Evening 16th March 20246 WeeksRegister Here
Statistics for Data Analytics Weekend Afternoon22nd March 20242 Months Register Here
Statistics for Data Analytics Weekend Morning20th April 20242 Months Register Here

Ambeone’s Foundation in Statistics Certification Training Course Details

  • Duration of the course is 32 hours of Instructor Led class room training with 40 hours of self/group study & assignments.
  • This course is offered as,
    • 5 Days Intensive Boot-Camp.
    • Evening Classes. Two 2-hour sessions a week for Eight weeks in the evenings.
    • Weekend Classes : 4-Hour sessions on a weekend for Eight Weeks
    • As part of our Six Month Associate in Big Data Analytics.
  • We currently offer this course Dubai and Abu Dhabi, UAE.
  • Checkout our course schedule more information.
  • Participants must bring their own laptop with Microsoft Excel installed in it.
  • All training topics covered in the Fundamental Statistics course will be taught using relevant industry specific case studies and examples.
  • This training course is very hands-on/practical and is not a lecture or seminar. Participants will be expected to complete exercises and case studies on their own with necessary support and guidance from the instructor.

Some Interesting Articles on Data Science and its applications

Seven Ways Data Science can help any Business in today’s Data Driven World

How Data Science and Big Data Analytics is adding value to all  Organisations? All organizations-big or small, sooner or later have to embrace Data Science to remain relevant and competitive. With all the data around as well as efficient and effective ways to harness it for insights and information, organizations are coming to realize the…

Do you have the Top 7 Skills needed for becoming a Data Scientist?

Do you have the Top 7 Skills needed for becoming a Data Scientist? A good data scientist and analyst needs to be more than just a number cruncher. It is not enough to just work with numbers, a data scientist needs to be able to understand and communicate the story behind the numbers. So do…

What is  Data Interpretation and how to do it well?

How to Data Interpretation Well? Data interpretation is an essential part of daily life for all of us  and more so for Decision makers and managers. Every day we receive lots of data-visual, audio, textual  and, numeric. We derive information and  insights from this data by interpreting it as per our thinking and belief patterns.…

Deep Learning vs Machine Learning: Using a Knife vs a Sword to slice?

Difference between Machine Learning and Deep Learning It is well acknowledged today that artificial intelligence has a significant value in today’s world. It is also expected to evolve sharply further in future. Artificial Intelligence means making the machines decide and act like Human Intelligence. Artificial Intelligence is a broad concept and one of its important…

Machine Learning and Racing Cars

Machine Learning and Racing Cars? Machine Learning and Racing Cars give same adrenaline rush to its proponents! Speed at which the field of Machine Learning is surging forth is faster than best of the racing car’s speed  but Machine learning is like Racing Cars in more ways than one. The field of machine learning is…

Should You Choose Artificial Intelligence as Career? Hype vs Reality!

Why should you choose Artificial Intelligence as career? Artificial Intelligence is much in news these days. The techniques of artificial intelligence, machine learning and deep learning (often together referred as ‘Data Science’) can be used to not only automate tasks that are repetitive but also carry out complex tasks quickly, which once seemed impossible and even…

Why Business Need to Turn to Artificial Intelligence

Why do Business needs Artificial Intelligence? There is a lot of excitement surrounding artificial intelligence and its benefits for businesses and rightly so. Gartner published its Top 10 Strategic Technology Trends for 2019 and Artificial Intelligence is right there at the top in different forms. So, if you, as a professional or business owner, are…
Ambeone Can I become a Data Scientist?

Can I become a Data Scientist?

Most popular question everyone ponders in their mind “Whether I have what it takes to become a Data Scientist?”

Nine Step Guide for building business oriented but statistically robust Data Science projects

Nine Steps for building business oriented and statistically robust Data Science projects   Data Science and Data Science Projects are the most trending topics and indeed so since it is a fast-evolving field. It is an all-encompassing term inclusive of different components like Data Analytics, Big Data Analytics, Machine Learning algorithms and even Artificial Intelligence Model.…

What Is Python and Why You Should Learn It?

What is Python and what are the advantages of learning it for Data Science Python is a programming language which is most often used in Big Data Analytics, Data Science, Machine Learning and Artificial Intelligence – all fast growing area in information technology. It has its unique advantages. If you are planning or are a professional…

Data Scientist-Sexiest Job of 21st Century or just plain Hype!

Data Scientist – Sexiest Job of 21st Century or just plain Hype?   It has been said that Data Scientist is the “sexiest job title of the 21st century.” Is this just a hype or an emerging reality? Studies and research shows that it certainly is not a Hype. In fact the demand for data scientists is increasing…

Business Intelligence(BI) Vs. Data Analytics

Difference between Business Intelligence and Data Analytics Many People have asked me the difference between Business Intelligence and Data Analytics. The example I give to explain the difference between BI & and Data Analytics using languages like R and Python is as follows: Imagine Isaac Newton sitting under a tree and an apple falling on him.…

From Drowning in Data to Data-Curiosity

Insights Starved Data Curiosity How traditional Data Analysis tools cannot help anymore – The Life of Every Other Manager     You would think that after reaching a middle or upper management position, a Manager would be doing lots of cool things in their day-to-data activity. However, from our experience in the GCC, most managers spend a…

Adopting the Data Driven Culture

Adopting the Data Driven Culture- How Data Science is becoming popular in Business Many companies are being open to getting data-savvy and everyone wants to get on board the data analytics and data science train. However, it goes without saying that the to progress with data, you need to develop a data driven culture. Click…

Are you ready for the Data Revolution?

Are you ready for the Data Revolution?   More and more industries are steadily using and investing in Big Data Analytics and Data Science   In fact, as per a recent study, almost 80% of Fortune 1000 companies have stated that their Big Data Investments have been successful. Big data isn’t just being used for…

Big Data Analytics in Finance Industry- Here to stay!

Data Science and Big Data Analytics in Finance Industry In the Financial Industry, the BIG Data Analytics has moved beyond talks and experimentation to actual adoption and large budget deployments. Today Banks, Insurance agencies and asset management firms represent some of the most advanced big data users in the world and have found that big…

 

 

error: Content is protected !!