Ambeone offers Award Winning & highly acclaimed Data Science Courses in the region since 2017 and have been the first one in the region to offer comprehensive well structured in person programs for all levels.
Course Objective
This Comprehensive course in Data Science track providing solid foundation in Statistics along with advanced big data analytics techniques & advanced Data Visualization and Predictive Modeling with R or Python. Enables you to start your career as Data Scientist.
Suitable For
Anyone aspiring to start a career in Data Science and/or Executives in engaged in Analytics, Performance measurement, Forecasting, Innovation in any functionality like Marketing, HR, Finance, Operations, Supply Chain etc. across any industry.
Ambeone’s ‘Comprehensive Program in Data Science’ Course in Dubai starts you on the journey in Data Science and Artificial Intelligence as a skilled Data Scientist
Predictive Modelling is the core concept underlying Machine Learning. It is a very creative and rewarding field and it is is here to stay. Therefore, we have designed hands-on and practical curriculum for our integrated Certification in “Foundation in Data Science” Course which focuses on creating strong foundation in Statistics, Learning R or Python and developing basic Machine Learning Models for Predictive Modelling using Statistics and regression. It focuses on the Business applications for Managers, Decision Makers, Business Analysts and creates a strong foundation for future Data Analysts and Data Scientists!
Developing Predictive Models using Big Data Analytics is a fast evolving phenomenon just like the IT revolution was in the 90’s. Due to technological advancements, data is being generated digitally like never before.
By applying statistical methods to this massive amounts of data or ‘Big Data’, data scientists are able to conduct data analysis to find trends, patterns, correlation & outliers in their business of interest. Consequently this translates to determining opportunities and risks ahead of time and taking data-driven business decisions using Predictive Modelling techniques that improve business efficiencies, increase profits, mitigate risks and even open up new markets.
Today Data is everywhere and in big volumes !
Being able to leverage it for business decision making is a skill that is now very much in demand for today’s world of Big Data!
Comprehensive Program in Data Science & Big Data Analytics
Accordingly Ambeone has designed a comprehensive 15 Weeks program that encompasses all important concepts in Statistics as well as a programming language R (or Python) and the core predictive modelling concept which is Linear Regression for Machine Learning so you can start using data Science for your forecasting and predicting business cases across different functionalities like Marketing, Sales, Finance, Supply Chain HR etc.
You will be able to use Statistical Theory and Big Data Analytics and Visualizations techniques to build Statistically robust Regression based Prediction Models with good grasp of Statistical concepts for all kinds of data and business challenges.
Ambeone offers a discounted Package covering comprehensively all initial levels with this level as the ‘Comprehensive Program in Data Science’ Course.
The course structure covers all our Data Science series levels related to Statistics and Big Data Analytics & Visualization all the way up to Predictive Modelling using basic Machine Learning algorithm with R Language.
The content focuses on hands on techniques for data interpretation, data visualisation and exploration, statistical analysis for Predictive Modelling for different business applications using linear regression. Participants also learn how to evaluate their predictive models and improve is robustness by changing model parameters.
On completion of the program, participants will be able to conduct Big Data Analytics and Visualization quickly using advanced techniques. They will be also able to use statistical concepts with dexterity to develop and evaluate Machine Learning Algorithms for making predictions and forecasts which will empower them to conduct incisive analytics for better and accurate business predictions and forecast related decisions.
This Course is available with R as the main programming language. However if required it can also be offered with Python as the main programming language.
You can also continue with more advanced level Machine Learning models and algorithms (Our Data Series Level VII) after completing the ‘Comprehensive Program in Data Science’ Course. You can do in either R or Python as your main programming language based on your proficiency.
5 Day Intensive Bootcamp for Predictive Modeling & Basic Machine Learning with R
Due to popular demand from International candidates and corporates, we also offer this program as 5- Day Intensive Boot Camp as “Big Data Analytics, Predictive Modeling and Basic Machine Learning with R”.
The boot camp over five days is planned to enable the International students and corporate executives to quickly enter and start working in this fast growing Data Science field and focuses on Learning R or Python for Data Science programming and Statistical Modeling for prediction using Linear Regression.
Basic knowledge in Data Analysis and Statistical concepts is a pre-requisite for the 5-Day bootcamp.
Please call on 04-4425320 for finding more about joining the next bootcamp.
This Comprehensive Program is a unique blend of learning encompassing Statistics, Programming in R and Predictive Modeling techniques. You can take this program by learning either R or Python as the base programming language of Big Data Analytics, Data Visualisation and Machine Learning for regression based predictive modeling. You will also learn to build, evaluate and Fit your models for forecasting based on any kind of data for any business challenge across any functionality or industry.
Topics covered in ‘Comprehensive Program in Data Science’ Course
- Fundamental of Data Analysis & Interpretation
- Foundation in Statistics
- Advanced Data Manipulation & Data Mining using Dplyr in R
- Advanced Data Visualization using ggplot2, ggvis, plotly, etc. in R
- Data Exploration for Trends, Outliers & Correlations
- Correlation and Regression algorithms in R
- Linear Regression in R using Machine Learning Models
- Exploratory Data Analysis
- Simple and Multiple Regression case studies in R
- Model Evaluation Parameters
- Examination of Residuals Plots
- Homoscedasticity and other error patterns
- Multicollinearity and Variance Inflation Factor (VIF)
You can also continue your learning after the Comprehensive Program by continuing to our Data Series Level VII for Advanced Machine Learning with your choice of R or Python language
Our carefully planned and recommended learning structure for Data Science Series
| Level | Course Name | Know More |
|---|---|---|
| Level I | Fundamental of Data Analytics & Interpretation ,Simple Measures of Data | Click here |
| Level II | Business Analytics with KPI Measurement using Statistics | Click here |
| Level III | Statistics for Data Analytics & Data Science | Click here |
| Level IV | Big Data Analytics & Visualization with R | Click here |
| Level V | Advanced Data Mining & Manipulation with Python | Click here |
| Level VI | Predictive Modeling & Evaluation with Machine Learning | Click here |
| Level VII | Advance Machine Learning and Artificial Intelligence with R & Python | Click here |
| Level VIII | Applied Analytics-Using Data Science & Machine Learning in Business Analytics | Click here |
| Level IX | Neural Network & Unsupervised Learning for Advanced AI | Click here |
‘Comprehensive Program in Data Science’ Course Duration
60 Hours of Instructor Led Sessions
+
60-70 Hours of Assignments & Projects
Course Format
4 Hours Sessions each weekend for 16 weeks for Public Batches
or
5 days Intensive bootcamps/workshops for International/Corporate Batches
Course Pre-requisite
There are no pre-requisites in case the participants are opting for the ‘Comprehensive Program in Data Science’ Course as it will cover all the initial levels in Statistics along with programming in R and predictive modelling level for this course.
However it will be beneficial if the participants have some business and analysis experience in order to understand applications of Python for Data Analysis and Mining in business environments.
Big Data Analytics is an evolving science with new and unique applications cropping up every day. Check out our carefully planned and recommended sequence of training courses that will ensure you gain all the necessary skills needed in a systematic and meaningful way to succeed as a Data Scientist!
Schedule for the ‘Comprehensive Program in Data Science’ Course
| Course | Course Format | Start Date | Duration | Register |
|---|---|---|---|---|
| Big Data Analytics with R | Weekend Afternoon | 18th June 2024 | 6 Weeks | Register Here |
Course Details for Ambeone’s ‘Comprehensive Program in Data Science ‘Course
This course is offered as:
- Intensive bootcamps : 5 Day Bootcamp covering some parts of the Foundation program
- Weekend Classes : Four Hours Sessions each weekend for 15 Weeks
- Evening Classes: Two 2-hour sessions a week for 15 weeks in the evenings: This format of training is beneficial for the working executives so that they are able to attend after work hours
- As part of our Six Month Associate in Big Data Analytics: Participants can join an on-going batch for the relevant modules.
- Participants must bring their own laptop. Preferably with more than 8GB ram.
- This Big Data Analytics Training Module will be mainly taught using R as the programming language. Participants are not required to have any programming background. While we will cover necessary topics in R needed for this course, participants interested to further explore programming in R can check out our detailed course on Programming in R.
- All softwares and Databases used for the course are open-source and participants will be taught how to install and set-up the environment.
- All training topics covered in the course will be taught using relevant industry specific case studies and examples.
- In addition to the above, the 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.