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  • Mathematical logic and reasoning skills
  • Basic programming skills

Data Science Course Overview

Data Science Course at SVTechhub will help you gain knowledge in analyzing data, time-series analysis, Machine learning algorithms, business analytics, Hadoop framework, and many more. In this training, you will gain hands-on expertise in Data Science by thoroughly insisted real-time projects. SVTechhub’s Data Science Certification course will help you become an expert data scientist today.

About Data Science Course

Data Science is the most sought after field which is designed to analyze and understand huge amounts of data to derive value from it. In this field, we apply various Machine Learning algorithms and statistical models to derive the hidden insights from the data. This field is becoming highly laborious as one of the most prominent gateways for skilled professionals.

Data Science is used to make predictions and decisions with the help of prescriptive analytics and casual predictive analysis. By using various analytical methods in Data Science you can predict past as well as future to make the right decisions. All the data professionals across the world should think beyond the traditional methods in mining data and analyzing data. In order to do so, one must get into the complete spectrum of Data Science from the beginning.

Data Science Course Objectives  

Q) What are the objectives of Data Science online training?

Upon completion of our training, you will be able to:

  • Gain expertise in Data Science life cycle
  • Understand the importance of data analysis and data acquisition
  • Evaluate and experiment on various project deployment tools
  • Implement text mining techniques on text data
  • Gain insights on segmentation and predictive analysis using clustering
  • Acquire basic knowledge on Machine Learning algorithms
  • Work on various data manipulation and data mining projects
Q) Why should you learn Data Science to grow your career?
  • According to Harvard Business Review, Data Scientist was considered as the best job of the 21st century.
  • The number of jobs for all the US Data Professionals will increase to 2.7 million per year – IBM
  • The average salary paid for experienced Data Science Professionals is around $165,000.
Q) What are the Job roles available after completion of Data Science training?

The various job roles available for Data Science professionals are listed below

  • Data Scientist
  • Machine Learning Engineer
  • Analytics Engineer
  • Data Analyst
  • Applications Architect
  • Data Architect
  • Business Intelligence Developer
  • Enterprise Architect
Q) What will you learn in this Data Science training?

After completion of this training, you will become an expert in the following concepts

  • Basic concepts of Data Science and their importance
  • Understanding and analyzing the data
  • Logistic and linear regressions
  • Implementation of Data Science with R
  • Integrating R with the Hadoop ecosystem
  • Various plotting techniques and data interpretation

Data Science Course Objective

  • Understand Bi data and how to translate them into intelligent data
  • Learn a technology such as R,Python or SAS fir data science
  • Determine the proper analytic methods for descriptive,prescriptive and predictive analysis
  • Understand how to search for the needle in the haystack
  • Understand the advantages of data visualization and smart reporting
  • Work on a novel capstone projects similar to some of today's relevant real world examples

R Curriculum

Introduction to R

  • What is R?
  • Getting started with R and Rstudio
  • Basic Operations in R
  • Use of packages in R
  • Data Types & Data Structures in R

Working with data

  • Loops, user-defined-functions, subsetting and apply fucntions
  • Conditional Statements
  • Data Import & Export
  • Plots and data visualizations

Data Science Curriculum

Introduction to Data Science

  • Orientation
  • What big data and data science are, and how they're impacting the way businesses are done
  • Using R for data science and data wrangling in R, data quality-validations and imputations
  • Normal distribution,skewness,kurtosis,missing data,outliers,data transformation etc

Predictive Analytics (Modeling Methods for Supervised Learning)

  • Hypotheses,t-tests,Z-tests,F-tests,Confidence Interval,P-values,Sampling etc
  • Supervised ~ Unsupervised learning,Bias ~ Variance
  • Linear Regression,Multiple Linear Regression,logistic regression and Classificatiob Trees
  • Residuals,Homoscedasticity,Heteroscedasticity,Multi-collinearity and Statistical Interactions
  • Model Validation, Forward/Backward Regression,Dimension Reduction etc

Data Science Curriculum

Machine Learning(Advance Modeling for Unsupervised Learning)

  • Parellel processing with R, using R with Hadoop-Hive,HDFS etc
  • Forecasting Time Series,Random Forest,kNN,SVM,Clustering,Market Basket Analysis and Artificial Neural Network
  • Analysis of Network Data,Social Media text mining and sentiment analysis from Facebook/Twitter data

Analytics Communication & Management

  • Analytics project lifecycle
  • Summarizing results
  • Creating presentations
  • Tableau, QlikView,PiktoChart

Cost and Assumptions

  • The Training resource is an 15 Years expert in the Industry
  • The course is for 16 sessions. Each session for 2-3 hrs. Teaching would include statistical mathematics, usage of R, group discussion, idea-action followed by assignments.
  • Completion certificate issued at the end of course upon successful completion of assignments.
  • Students need to have a good quality of internet bandwidth .
  • Each topic is accompanied by hands-on case study or mini-project.
  • You can select business issue and data from your own business area or work domain and we will work with you in applying data science on that set of data to make you learning more relevant for you.
  • We not only delivers course content, but also helps students in using data science at their work place by encouraging them to use their own data and by supporting even beyond the course delivery.

1) Data Science Certification:

As more organizations are looking for trained as well as certified data science professionals: Data science certification plays a key role in the growing tech market today. There are a number of career opportunities for an individual in the field of Data Science, so certification in this particular field is important for your career growth.

Some of the topmost Data Science certifications are listed below:

  • Certified Analytics Professional (CAP)
  • Cloudera Certified Associate: Data Analyst
  • Cloudera Certified Professional: CCP Data Engineer

2) Which companies are recruiting Data Science professionals?

Below mentioned is a list of some top companies that are employing data science professionals.

  • Bank of America
  • Mate Labs
  • Accenture
  • Google
  • Couture
  • Technosoft Global
  • Hewlett-Packard
  • Capgemini

3) Who can join this course?

The eligible candidates for Data Science Course are:

  • Fresh Graduates
  • Information Architects
  • Data Analysts
  • Business Intelligence Professionals
  • One who wants to start their career in Data Science
  • Big Data Statisticians


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Overall it’s a very good learning experience at SVTechhub. The course has a clear explanation of data analysis and it’s their applications which helped me a lot in my business analytics career.

Recently, I completed Data Science training from SVTechhub. The training was excellent and the trainer is a working professional. He explained every topic in a detailed manner and helped a lot in achieving the certification.

I got enrolled in the Data Science course at SVTechhub, the team was responding very nicely and informed all the course details. Even though they have conducted sessions immediately, the trainer is a highly experienced professional and provided valuable information on the latest developments and implementations of Data Science.