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Data Science – Course Summary

Data Science course enables you to understand the practical foundations, helps you to effectively execute and take up Big Data and other analytics projects. The program covers topics from Big Data to Data Analytics Life Cycle. Understanding these topics helps in addressing business challenges that leverage Big Data. Another aspect of this course is that it covers basic as well as advanced analytic methods and also introduces the participant to Big Data Technology and tools like MapR and Hadoop. Our state-of-the-art-infrastructure allows students to understand the applications of these methods and tools by getting hands-on experience working alongside real time data scientists. This program has an open approach including a final lab session which explains various Big Data Analytics challenges by applying the concepts covered during the program in respect to Data Analytics Lifecycle.


The course is designed for anyone who wishes to understand the concepts of Data Science from a Data Scientist’s perspective. Professionals who can benefit from this course –

  • Managers from the any field as Analytics is the best tool for managers these days
  • Business Analysts and Data Analysts who wish to upscale their Data Analytics skills.
  • Database professionals who aspire to venture into the field of Big Data by acquiring analytics skills.
  • Fresh graduates who wish to make a career in the fields of Big Data or Data Science

Pre-requisites and Knowledge Skills

The following skill sets and knowledge will enable the students to complete the course successfully and at the same time reap maximum gains –

  • Good understanding of basic statistical concepts and a strong quantitative background.
  • Knowledge of any scripting languages such as Java, Perl, Python or R, as most of the modules in the course use R, an open-source statistical tool, and programming language.
  • Knowledge and experience of SQL

Knowledge of these pre-requisites will enable the participants to understand various advanced tools and methods covered during the program more effectively.

Course Objective

At the end of the course, the participants will be able to –

  • Be a part of a data science team and work on Big Data and various other analytics projects.
  • Deploy Data Analytics Lifecycle for Big Data projects.
  • Changing the frame of a challenge from a business perspective to analytics.
  • Understand which analytics techniques and tools will work in a specific Big Data analysis.
  • Creation of statistical models and understanding which insights can lead to actionable results.
  • Select appropriate data visualizations. This would help in communicating analytics insights to business sponsors and analytics audience in a clearer manner.
  • Use various Big Data tools like Hadoop, MapR, R, In-Database Analytics, and MADLib functions.
  • Understand how advanced analytics leverage to create competitive advantage. Also, how the roles of data scientists and BI analysts are different from each other.

  • What is Data Science?
  • Skill-set required
  • Job Opportunities

  • Continuous vs. Categorical variables
  • Mean, Median, Mode, Standard Deviation, Quartile, IQR
  • Hypothesis testing, z-test, t-test

Installation of R Studio

  • Overview of R Studio components
  • Data Structures
  • Vector
  • List
  • Matrices
  • Data Frame
  • Factor
  • Slicing and Sub-setting
  • Vector
  • List
  • Matrix
  • Data Frame

Functions in R

  • In-built functions
  • User-defined functions

Loops in R

  • while
  • for
  • break
  • next

Data Import in R

Apply family of functions

  • lapply
  • sapply
  • tapply

Data Manipulation using dplyr

Data Visualization using ggplot2

What is Machine Learning?

Supervised vs. Unsupervised Learning

Exploratory Data Analysis

  • Univariate analysis
  • Boxplot
  • Bivariate analysis
  • Scatterplot
  • Correlation
  • Outliers
  • Remove duplication
  • Missing value imputation

Underfitting vs. Overfitting

Linear Regression

  • Simple
  • Multiple
  • Assumptions of Linear Regression
  • Evaluating Accuracy of model: k-Fold Cross validation

Logistic Regression

  • Confusion Matrix
  • ROC Curve

Time Series Forecasting

  • Moving Average
  • Exponential smoothing
  • Holt Winter’s

  • Naïve Bayes
  • Support Vector Machine
  • K-Nearest Neighbour
  • Decision tree
  • Random Forest
  • K-Means clustering

  • Introduction to Big Data
  • Overview of Hadoop & its Ecosystem
  • Introduction to NoSQL
  • Overview of Apache Spark

Our instructors are certified professionals and are subject matter experts of Data Science.

To attend the live virtual training, one would require at least 2 Mbps of internet speed.

The candidates need not worry about losing any training session. They will be able to view the recorded sessions available on the LMS. We also have a technical support team to assist the candidates in case they have any query.

The access to the Learning Management System (LMS) will be for lifetime, which includes – Class recordings, presentations, sample code and projects.

Yes, we do have an option of group discount. To know more about group discount, contact

Yes, the course completion certificate is provided once you successfully complete the training program, you will be evaluated on few parameters like – Attendance in sessions, Objective examination and others. Based on you overall performance you will be certified by Collabera TACT.

Course Reviews


11 ratings
  • 5 stars9
  • 4 stars2
  • 3 stars0
  • 2 stars0
  • 1 stars0
  1. Profile photo of sunny.shah

    Bob Edments, NJ, USA

    The course curriculum of Data Science is very informative and has helped me to understand the concepts of Data Science.

  2. Profile photo of sunny.shah

    Desiree Lockhart, Illinois, USA

    For beginners, the course Data Science is very beneficial and it gives an insight of the things that we need to focus on to grow as a data scientist.

  3. Profile photo of sunny.shah

    Deepak Talwar, Bangalore, India

    The course curriculum was highly rich in content and the support received from the technical team was also appreciable.

  4. Profile photo of sunny.shah

    Pranita Chandankhede, Chandigarh, India

    The Data Science course helps in understanding the topics right from Big Data to Data Analytics Life Cycle. Moreover, the support received from the trainer as well as the technical support team was quite impressive.

  5. Profile photo of sunny.shah

    Cruz Ricardo, NY, USA

    The course is designed for people who wish to understand the concepts of Data Science from a Data Scientist’s perspective. The training program is very informative and is best for the beginners.

  6. Profile photo of sunny.shah

    Lashunda Gooch, London, UK

    The training course on Data Science offered by Collabera TACT has been a great experience. The trainer has a good knowledge of this technology and has helped us to understand the topics right from Big Data to Data Analytics Life Cycle.

  7. Profile photo of sunny.shah

    VADLAMANI SAIHARITHA, Hyderabad, India

    The course Data Science covers the basic as well as advanced analytic methods and also introduces the participant to Big Data Technology and Tools like MapR and Hadoop.

  8. Profile photo of sunny.shah

    Aurelia Arndell, Sydney, Australia

    The state-of-the-art infrastructure of Collabera allows the students to understand the applications of these methods and tools by getting hands-on experience working alongside real-time data scientists. Moreover, the support received from the trainer as well as the technical support team was quite commendable.

  9. Profile photo of sunny.shah

    Allie Binnie, Virginia, USA

    The course offered by Collabera TACT enables you to understand the practical foundations and assists you to take up Big Data and other analytics projects and execute them effectively.

  10. Profile photo of sunny.shah

    Marc Foust, Scotland, UK

    The training program offered by Collabera TACT was excellent. The trainer resolved our entire query with the help of live demos and illustrations and the support received from the technical team were really commendable.

  11. Profile photo of sunny.shah

    Amandeep Mann, Virginia, USA

    It was great learning experience. Ram helped on simple to complex things and he covered almost all the basics of Python and Data Science. I would love to get another training like this with certification which can help me on job and to build a better future. Once again, thanks to Ram for the training and helping us on Python.

  • $409.00
  • 10 Hours
  • Profile photo of Vinay Kalingara

India Sat-Sun (5 Weeks)

08-APR-2017 08:00 AM - 10:30 AM IST

USA Fri-Sat (5 Weeks)

07-APR-2017 09:30 PM – 12:00 AM EST

UK Sat-Sun (5 Weeks)

08-APR-2017 02:30 AM - 05:00 AM BST

Enroll Now


Course Features

We provide 40 hours of live online training including live POC & assignments.

It would be live & interactive online session with Industry expert Instructor.

We have round a clock expert technical team available for query resolution.

We provide lifetime Learning Management System (LMS) access which you can access from across the globe

We strive to offer the Best Price to our customers with the guarantee of quality service levels

Post completion of the course, you will appear for examination from Collabera TACT. Once you get through, will be awarded as a course completion certificate

Collabera is the largest IT staffing company and we understand the market trends and industry requirements well. Therefore, we help our certified trainees in resume preparation, work on projects and provide assistance for interview preparation.

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