Data Science

Data Science Online Training

Learn Data Science Training and Certification course from Certified Experts.

40 – 80 Hours Duration

100 Assignments

Instructor Led online Training

50 LMS Access

24X7 Support

100% Skill Level

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4.9 out of 1000+ Ratings
Learn Data Science from highly experienced, certified working Consultants. This is a project-based training & will be covered with the help of real-time scenario-based projects, tasks & assignment.After the completion of this you will be get certificate for the same.

Overview

This programme is presented as a practical set of modules, designed to provide business leaders with the foundational data science skills to solve their real-world business challenges.

  • Learn commands, functions and basic data analysis in R programming language.
  • Use data visualisation tools, such as the ggplot2 package for graphics, to communicate with data teams, management, clients, partners and the general public.
  • Learn to predict prices, sales, units sold based on product features, and marketing activities using input and output variables and algorithms.
  • Predict positive customer response to an email campaign (conversion) or churn (attrition) using classification tools.
  • Master clustering applications for market segmentation, recommender systems or stock grouping for investment portfolio management.

What you will gain?

  • 1 to 1 Live Online Training
  • Dedicated 24 x 7 Support
  • Flexible Class Timing
  • Training Completion Certification
  • Direct Access to the Trainer
  • Lifetime Access of an LMS
  • Real-time Projects
  • Dedicated Placement Support


Pricing

Beginner Plan

Level A1

Data Science

Program Fees:$ 500

$ 400/-

(GST Extra)

Top Hiring Plan

Advance Plan

Level A1

Python + ML + AI + Tablue

Program Fees:$ 900

$ 800/-

(GST Extra)

Syllabus

  •  Introduction to Data Science, Setting Up the Systems
  •  Introduction to Python, Variables and Data Types
  •  Operators, Conditional Statements, Looping Constructs
  •  Data Structures, String Manipulation, Functions
  •  Modules, Packages and Standard Libraries, Handling Text Files in Python
  •  Introduction to Python Libraries for Data Science, Python Libraries for Data Science
  •  Reading Data Files in Python, Preprocessing, Subsetting and Modifying Pandas DataFrames
  •  Sorting and Aggregating Data in Pandas, Visualizing Patterns and Trends in Data
  •  Machine Learning Lifecycle, Problem statement and Hypothesis Generation
  •  Importance of Stats and EDA, Understanding Data, Basics of Probability
  •  Exploring Continuous Variable, Exploring Categorical Variables
  •  Missing Values and Outliers, Central Limit Theorem, Exploring Continuous – Continuous Variables
  •  Continuos Categorical, Categorical Categorical Variables, Multivariate Analysis, Assignments

Benefits of Online Training

  •  100% Satisfaction Ratio
  •  Dedicated Help In Global Examination
  •  Updated Syllabus & On-Demand Doubt Session
  •  Special Group & Corporate Discounts

FAQ’s

Business intelligence is a combination of the strategies and technologies used for the analysis of business data/information. Like data science, it can provide historical, current, and predictive views of business operations. However, there are some key differences.
Data Science is now being integrated with industries across all sectors. That’s why not only are the data scientists expected to have a broader set of skills, but the employers also expect more cohesive specialisation and collaboration. According to our study, we found out that the following skills were crucial for a data scientist’s role:

  • Thorough knowledge of Python, as 44% of the professionals use it the most
  • Knowledge of Tableau, as 51%, of the data scientists use it
  • RStudio as an IDE
  • And in-depth knowledge of Hadoop
A report by AIM had found out that the average salary for a data scientist in India is ?12.7 lakh per annum in 2018. However, this trend has levelled off with the average analytics salary capped at ?12.6 lakh per annum across all experience levels in 2019. In fact, Data Analytics professionals are currently benefitting from the big data wave with analytics professionals earning 26% higher than an average software engineer in India.
Many of the organisations, as well as professionals, are worried that the market is being flooded with too many data scientists, as most professionals from the software background are now rushing upskill. This is rather an unfair question, to be honest.

The term data science is being used rather loosely — from analysts to data visualisers — all are being termed as data scientists. If one goes by this erroneous definition, then yes, it will appear that there are far too many data scientists these days. But if we take into consideration the actual data — that there are as many as 97,000 job openings in the field of analytics and data science in India alone — then we can see that this sector is not saturated, but thriving.

Cracking any interview requires preparation and in the case of data science it is not restricted to performing well on the big day alone. An aspiring data scientist is expected to prepare across multiple fronts like:

Build a portfolio of projects and MOOCs
Network with peers and stay up-to-date with who’s who, follow trends
Learn about the position that you are applying for
Go through questions asked in previous interviews

Cracking any interview requires preparation and in the case of data science it is not restricted to performing well on the big day alone. An aspiring data scientist is expected to prepare across multiple fronts like:

Build a portfolio of projects and MOOCs
Network with peers and stay up-to-date with who’s who, follow trends
Learn about the position that you are applying for
Go through questions asked in previous interviews

Recently Trained Students

Jessica Biel

– Infosys

My instructor had sound Knowledge and used to puts a lot of effort that made the course as simple and easy as possible. I was aiming for with the help of the SAP FICO training imparted to me by this organization.

Richard Harris

– ITC

I got my training from Gaurav sir in the financial accounting module of SAP & I would like to say that say he is one of the best trainers. He has not even trained me but also motivated me to explore more and the way he executed the project, in the end, was mind-blowing.


Job Opportunities

Data science experts are needed in virtually every job sector—not just in technology. In fact, the five biggest tech companies—Google, Amazon, Apple, Microsoft, and Facebook—only employ one half of one percent of U.S. employees. However—in order to break into these high-paying, in-demand roles—an advanced education is generally required.

“Data scientists are highly educated–88 percent have at least a master’s degree and 46 percent have PhDs–and while there are notable exceptions, a very strong educational background is usually required to develop the depth of knowledge necessary to be a data scientist,” reports KDnuggets, a leading site on Big Data.

Know more

Job Designation

  • Data Scientist
  • Machine Learning Engineer
  • Machine Learning Scientist
  • Applications Architect
  • Enterprise Architect
  • Data Architect


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