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Become Certified Advanced Data Science Professional. Learn Essential Statistics for Data Science , SAS , R for Data Science, Text Analysis using R , Predictive Analytics , Machine Learning . 115 hrs Dusration.

COURSE DESCRIPTION

Our Certified Advanced Data Science Professional program provides a strong foundation in data analytics by bringing together a diverse body of knowledge from applied statistics, applied mathematics, computer science, optimization, consumer behavior, risk management, operations research and decision theory. Students will use data science training to solve real problems in finance, marketing, accounting, and scientific applications. Being one of the best data science courses in the world, our program will help you learn and explore knowledge analytics, including analytics methods and models, systemic use of analytics, data sources, the “soft/human/non-quantifiable” aspect of learning, as well as privacy and ethical considerations in deploying analytics.

What to expect when you sign up for our Certified Advanced Data Science Professional program?

We offer one of the best data science courses in Bangalore and the most significant aspects of our course are mentioned below:

  1. Hands on learning activities that introduce both the logic around an analytics project.
  2. Greater emphasis on tools and technologies.
  3. Focus on the assumptions underlying analytics tools and projects.
  4. On completing the certified advanced data science professional program, one of the best data science courses in the world, you will be able to:
  • Identify and classify data science problems.
  • Work with R studio and SAS (packages and products).
  • Obtain data from a variety of sources.
  • Understand and be able to apply the basic tools for data cleaning and manipulation.
  • Our data scientist course will help you understand and make visual representations of data.
  • Create rich analytic graphics from different types of datasets based on the learning from our data science courses online and Bangalore center.
  • Construct exploratory summaries of data.
  • Learn how to fit regression models, how to interpret coefficients, how to investigate residuals and variability.
  • Understand the components of a machine learning algorithm.
  • Case Studies to understand Statistical Principles and its applications

Here are a couple of case studies that are part of our data science courses in Bangalore to help you understand the principles and applications of statistics.

CASE STUDIES

Case Study 1: Physical Strength and Job Performance

How does one select employees to perform physically demanding jobs? This case study examines the relationship between isometric strength tests and job performance for 147 workers. The specific statistical principles associated with this study are:

● covariance
● scatterplots
● correlation
● linear regression
● multiple regression

Case Study 2: Instructor Reputation and Teacher Ratings

Does an instructor’s reputation affect ratings of a lecture?
How powerful are rumors? Frequently, students ask friends and/or look at instructor evaluations to decide if a class is worth taking. Kelley found that instructor reputation has a profound impact on actual teaching ratings.

Case Study 3: Magnets and Pain Relief

Is it possible that magnetic fields can reduce pain? In the case study presented here, it was sought to answer the question “Can the chronic pain experienced by post polio patients be relieved by magnetic fields applied directly over an identified pain trigger point?”

Case Study 4:  Smiles and Leniency

Will a smiling person accused of a crime be treated more leniently than one who is not smiling? If so, does the type of smile make a difference? Research on the effects of smiling has backed this up and shown that a smiling person is judged to be more pleasant, attractive, sincere, sociable, and competent than a non-smiling person.

FAQs

If you are interested in taking up a data science course online, you have come to the right place. Gits Academy is a leading training institute in Bangalore that offers the best data science courses in the world for individuals and corporate companies. We offer a comprehensive and updated online certificate program in data science. After you successfully complete this data science online training, you can confidently apply for the position of data scientist or business analyst in any reputed company.

When you take up data scientist certification program at Gits Academy, you will learn the basics of analytics, computer science, applied mathematics and statistics. The course curriculum also includes risk management, decision theory, consumer behavior, and operations research. The curriculum has 6 sections, and based on the complexity and extent of concepts covered, we have allotted the number of training hours. The various sections covered in the data scientist course training program are statistics for data science, data management and data analysis using SAS, predictive modeling using SAS, programming for analytics, text analysis using R, and machine learning using R. The entire duration of the course program is 115 hours.

Trainers use a mix of theoretical classes, live interactive sessions, and self-learning to make the training program more interesting. Our trainers are young, energetic, and passionate about the subject. Plus, they are industry experts in the field, which means that they will surely use real-time scenarios to explain the various concepts and theories of data science.

Unlike most online big data analysis courses in India, the Online Certificate in Data Science in Gits Academy is aimed at providing hands-on activities that give you a working knowledge of the various concepts learned in the classroom sessions. Plus, we give more priority to use of the most advanced tools and technologies for data analysis.  Moreover, the syllabus focusses on project work that involves use of analytical tools and techniques. This is why the online data science course offered at Gits Academy is considered to be one of the best data science courses in Bangalore.

After you complete the online courses in data science at Gits Academy, you will be able to efficiently use various data tools and technologies for data mining and analysis. Plus, you will be able to clean and manipulate data and display it in a visual format or a report for presentation. The training will not only equip you will skills to create visual representations of data, but also summarize data and convert it to useful information.

If you want to join the best online big data analysis courses in India, come to Gits Academy. Fill up your contact details on the online form and we will get back to you with the details. Call us, mail us, or visit us in our head office at Bangalore to sign up for the data scientist course training. We also provide placement assistance at Gits Academy. So, you don’t have to worry about searching for the right job after you complete your certification program in our training institute.

Data Science is the extraction of knowledge from data. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information theory and information technology, including signal processing, probability models, machine learning, statistical learning, computer programming, data engineering, pattern recognition and learning, visualization, predictive analytics, uncertainty modeling, data warehousing, data compression and high performance computing.

Data science teams leverage tools such as R, SPSS, SAS, Hadoop to find data and build models quickly and easily.

A data science team includes business analysts, data architects, and data scientists. What sets data science apart is strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge.

No, there are no specific prerequisite courses to complete before enrolling, some programming experience is Preferred (in any language).

3 + 3 =

Course Curriculum

SECTION-1 ESSENTIAL STATISTICS FOR DATA SCIENCE: 32HRS
Understanding the Data for Statistics- Introduction 00:00:00
Descriptive statistics 00:00:00
Summary Statistics 00:00:00
Representation of Data-Tabular & graphical method 00:00:00
Statistical Terminologies and Inferences 00:00:00
Population, sample and random variables 00:00:00
Introduction to Probability- Discrete/continuous probability distributions 00:00:00
Hypothesis testing 00:00:00
Testing association and differences 00:00:00
Chi-square test 00:00:00
Understanding Anova, Correlation & regression 00:00:00
Linear regression (predictive modeling using ols regression technique) 00:00:00
Logistic regression 00:00:00
Cluster analysis 00:00:00
Factor analysis 00:00:00
SECTION-2 DATA MANAGEMENT AND DATA ANALYSIS USING SAS: 30HRS
Introduction TO a SAS syatem/software 00:00:00
Advanced input features 00:00:00
Data manipulation Techniques / Functions 00:00:00
SAS structures and flow 00:00:00
SAS executable statements 00:00:00
Reporting Techniques- SAS Procedures 00:00:00
Processing data with Do-loops and arrays 00:00:00
Joining combining data set concepts and techniques 00:00:00
Output Delivery System 00:00:00
Generating graph using SAS/Graph software 00:00:00
SECTION-3 PREDICTIVE MODELLING USING SAS : 30HRS
Evaluating quantitative data 00:00:00
Analyzing counts and tables 00:00:00
Comparing means using t-tests 00:00:00
Analysis of variance part i 00:00:00
Correlation and regression 00:00:00
Nonparametric analysis 00:00:00
Logistic regression 00:00:00
Analysis of variance, part ii 00:00:00
SECTION-4 R PROGRAMMING FOR ANALYTCS :16HRS
Introduction TO R PROJECT 00:00:00
Why use R programming 00:00:00
The packages paradigm 00:00:00
The “vector” architecture of R 00:00:00
Data types and structures 00:00:00
Common data operations 00:00:00
Functions in R 00:00:00
Control functions 00:00:00
User defined functions 00:00:00
Plyr package 00:00:00
Ggplot2 package 00:00:00
Reshape pacakge 00:00:00
SECTION-5 TEXT ANALYSIS USING R SOFTWARE: 8HRS
Text mining 00:00:00
Data preparation 00:00:00
Predictive models 00:00:00
Clustering 00:00:00
Visualization 00:00:00
SECTION-6 MACHINE LEARNING USING-R : 12HRS
Linear regression 00:00:00
Logistic regression 00:00:00
K-means 00:00:00
Svms 00:00:00
Random forests 00:00:00
Matrix factorization/svd 00:00:00
Decision trees 00:00:00
Naive bayes 00:00:00
Artificial neural networks 00:00:00

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    It was an excellent Experience, attending Data Science Professional Course with GITS. The trainer explained with all Real time examples. The best part was the way he had taught us, learning made simple, I would say Simplest :). I like Most of the session, but more interested to pursue my career in R programming. Thanks GITS for every support.

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