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 202021. 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: $137,776Join the bestinclass courses by leading faculty and industry leaders.
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. 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 SelfStudy, 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 Nonstatistical 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 
Kmeans 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 skillgap 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
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Course Features
 Students 1256 students
 Max Students50
 Duration80 hour
 Skill levelintermediate
 LanguageEnglish
 Retake course2

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