Course

Data Science Certification

NOTE: You have to pass these courses before you can enroll this course.
Free
Advance Course in Artificial Intelligence and Machine Learning

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 a 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.

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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

How does One become a 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. Devu.in 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 devu.in

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

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

Numpy

Pandas

Machine Learning

Machine Learning Approach
 

Supervised Learning Model

Regression Linear regression
Multiple Linear Regression
Multiple Linear Regression
Classification
Logistic regression
SVM
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
Subplots

FAQ

  • 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 devU.in

  • 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 devU.in

  • 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

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 Devu.in. 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
Designer
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 devu.in 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 Devu.in 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

Instructor