Data Science

Data Science Certification

Data Science Training in Bangalore
Data Science Training in Bangalore

What is Data Science

Data Science is the application of Machine Learning Algorithms and Statistics over large volumes of Structured and Unstructured Data to derive patterns and rules which could be further used to predict outcomes for a given set of inputs (read data).

In 2015, the American Statistical Association identified database management, statistics and machine learning and distributed and parallel systems as the 3 emerging foundational professional communities.

Who is a Data Scientist?

Data Scientists are professionals who are skilled in Organising and analysing vast amounts of Data. Data Scientists are well versed with the Machine Learning Algorithms, Data Visualisation and their application in Solving very Complex Problems.

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A professional needs to acquire the following skills to become an effective data scientist

    • Programming
    • Statistics
    • Machine Learning
    • Linear Algebra and Calculus
    • Data Visualization
    • Communication
    • Data Wrangling
    • Data Intuition
    • Software Engineering

One of the things that differentiates a good data scientist is their ability to differentiate the points that are Critical to a Project vs what are not. To arrive the same, Data Scientists need to be able to identify relevant questions, collect data from a number of different data sources, organise the data, translate it to the solution and communicate the findings. All this leads to effective business decision making. These skills are required in any industry, making Data Scientists very valuable to companies.
An Effective Data Science Course is one, which trains professionals on all the above mentioned skills.

Why Become Data Scientist

The demand for Data Scienists is steadily increasing across the globe. The days are gone, where organizations needed these skills to buid a competitive advantage, however, we are progressing in a world where the survival of organizations would depend upon the decisions made using Data Science. In this world,

Data Science Career Outlook and Salary Opportunities

In our humble opinion and going the progress made in the field of Data Science on a daily basis, we expect the demand for Professionals who have undergone a training in Data Science to increase exponentially in 2020-21. As of January 2020, there are 5,200 open positions listed only on GlassDoor, which is 21% more than Jan 2019. The average salaries quoted by GlassDoor for a Data Science Professional is as follows • Data analyst: $65,470 • Data scientist: $120,931 • Senior data scientist: $141,257 • Data engineer: $137,776

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Data Science Training in Bangalore

How does one become Data Scientist

Considering the number of areas to be covered to become a Data Scientist, it is suggested that one avails the required guidance from Trained Professionals.

The most preferred route to becoming a Data Scientist is to go through a Class Room Coaching in Data Science. provides Certified Data Science Course via ClassRoom Coaching in HSR Layout, Bangalore and Live Online Training in Data Science. The Live Online course can also be availed in their ClassRooms in their Centers in Rammurthy Nagar and Noida.

There are, of course, other options for one to become a Data Scientist via Self-Study, MOOC and Youtube videos, You could see the comparison and benefits of each of these modes of access in a section of

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Partial List of Topics Covered in Data Science Certification Course in Bangalore at

Data Science Overview

Introduction to Data Science

Different Sectors Using Data Science

Purpose and Components of Python

Statistical Analysis

Introduction to Statistics

Statistical and Non-statistical Analysis

Major Categories of Statistics

Statistical Analysis Considerations

Population and Sample

Statistical Analysis Process

Data Distribution

Hypothesis testing



Machine Learning

Machine Learning Approach

Supervised Learning Model

Regression Linear regression
Multiple Linear Regression
Multiple Linear Regression
Logistic regression
Naive Bayes
Decision Tree
Random Forest
K Nearest Neighbors

Unsupervised Learning Models

K-means Clustering
Apriori association rules
Sklearn for machine learning model


Data Visualllization with MatPlotLib

Introduction to Data Visualization
Line Properties
Scatter plot
Bar graphs and histograms
Pie charts


  • What is data science?

    Data Science is a field, that uses Scietific Methods, Processes, Algorithms and Systems to extract knowledge and insight from data.

  • What is a Data Scientist?

    Data Scientists are people with some mix of coding and statistical skills who work on making data useful in various ways

  • Does Data Science Requires Coding?

    Yes, it does. You could do in C++, Java, R or Python, however, Python is the most common language for Data Science

  • What Programming Language is helpful for Data Science

    Python and R are the preferred languages for Data Scientists

  • What skills do I need to become a Data Scientist?

    The Skills required to become a Data Scientist are, Programming Skills, Analytical and Data Interpretation Skills, Business Communication Skills, Mathemtically and Statistical skills

  • What is the best way for somebody to get started on Data Science?

    There are lots of resources online. You could also take a certification course with Coursera or edX. However, if you want a disciplined approach to Data Science, you coud go for a ClassRoom course with

  • Is Python better or R better for Data Science?

    Python and R are both equally good for Data Science, however, if you had to deploy your models, Python would be a better choice, due to the large number of frameworks available in Python

  • How do I become a Data Scientist?

    Data Science is a culmination of Stats, Maths, Programming, Data Management and Modelling. Unless you have a good grounding in each of these areas, you are unlikely to succeed as a Data Scientist. You could take an online course to excel these skills, or else, tkae a course with

  • Do I need a Masters/PHD to become a Data Scientist?

    No, you don't

  • Will I be able to work Overseas as a Data Scientist?

    Absolutely, with a significiant skill-gap in the area of a Data Science across the globe. Having Skills in data science is absolutely a plus for you to work as a Data Scientist anywhere in the world

  • In the Context of Data Science Online Course, what is logistic regression?

    Logistic Regression often referred as logit model may be a technique to predict the binary outcome from a linear
    combination of predictor variables. for instance , if you would like to predict whether a specific politician will win the election or not. during this case, the result of prediction is binary i.e. 0 or 1 (Win/Lose). The predictor variables here would be the quantity of cash spent for election campaigning of a specific candidate,
    the amount of your time spent in campaigning, etc.

  • What are Recommender Systems?

    In the Context of Artifical Intelligence Training, Recommender Systems are one of the information filtering systems that are meant to predict the user’s next choice based on the past choices. Recommender Systems are widely used by ecommerce sites, like Amazon and Flipkart, in recommending products to customers and by sites like Netflix, Spotify in recommending Movies and Songs to the their users.

  • In a Data Scientist’s role, what data cleaning plays in analysis?

    Once you have completed a Data Science Training and are required to handle Data Science Projects, one of the roles that you need to do it cleaning up data from to transform it into a format that data analysts or data scientists can work with. It is a tedious process because the time taken to clean the data increases with the number of data sources and the volume of the data generated in these sources. For some projects, data cleansing consumes approx 75% of the time in the project


  • In the Context of Data Science Training, Differentiate between univariate, bivariate and multivariate analysis.

    This topic would be covered in details in Descriptive Statistical Analysis Training in Data Science training:

    • Univariate Analysis: The analysis on the effect of 1 Variable on a desired outcome can be referred to as a univariate analysis. The most simple example is Pie Chart.
    • Bi-Variate Analysis: The Analysis on the effect of 2 Variable on a desired outcome  is termed as Bi-Variate Analysis. A common example is ScatterPlot.
    • Multi-Variate Analysis: The Analysis of more than 2 variables on a desired outcome is termed as Multi-Variate Analysis.

  • In Data Science Certification, what are various steps involved in an analytics project?

    • Step1: The Data Scientist needs to understand the business problem
    • Step2: The Data Scientist needs to explore the data and become familiar with it.
    • Step3: The Data Scientist then prepares the data for modelling by detecting outliers, treating missing values, transforming variables, etc.
    • Step4: The Data Scientist then starts running the model, analyzes the result and tweaks the approach. This is an iterative step till the best possible outcome is achieved.
    • Step5: The Data Scientist then validates the model using a new data set.
    • Step6: The Data Scientist finally starts implementing the model and tracks the result to analyse the performance of the model over the period of time.

Reviews, Feedback and Testimonials

Seeing the demand of Data Sciences in the US, I decided to enroll for the Data Science Certification Training in Bangalore with The trainers did a very good job in parting the training online. We could jointly do a number of projects, which helped me move across projects in my current job
Sridhar Alampathy
I had undergone a Basic and Advanced Python Course with Ram Sir. After sufficient practice in Python, I decided to enrol for the Data Science Certification Training Course in Bangalore at HSR Layout branch. Ram took us through all the major algorithms required for us to excel in our job as a Data Scientist
Divya P
Data Scientist
The Data Science Certification Training course in Bangalore that I attended was very helpful. The concepts were explained very well
Ravi K
Data Scientist
The Classroom Course in Data Science with Ram Sir was very informative. His grasp of the subject is very good and he clarified the concepts using projects, which was very helpful
Raghuveer P
Data Analyst
I started the Data Science Certification Training Course in Bangalore at HSR Layout branch. However, I had to travel to Dubai for a Project and devu was very accommodative in offering the Online Course in Data Science when I moved to Dubai. My Manager was very happy at my progress
Mustafa P, Dubai
Data Analyst
The exercises in the Data Science Certification Course in Bangalore were very helpful. I could understand the concepts very clearly.
Arvind P
Data Analyst

Course Features

  • Students 1256 students
  • Max Students50
  • Duration80 hour
  • Skill levelintermediate
  • LanguageEnglish
  • Re-take course2