Data Science Course Training

SocialPrachar Provides Best Data Science Course Training with Certified Trainers. Data Science Course is in Big Demand now with #1 Place in National and International Job Market. We also Provide Data Science Classroom Training in Hyderabad and Data Science online Training for rest of the world audience. Register now for our data science 3 months exclusive training program includes Training on Advanced data science course which includes R, Python, Hadoop, Statistics, Machine Learning, Deep Learning using Tensor flow and Keras, Computer Vision, Neural Networks

Data Science Training in Hyderabad

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✓ Mock Interviews

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We are Happy to announce that Social Prachar awarded as the Best Academy of the Year 2019 @7th Asian Education Summit, Mumbai.

Thanks to all my Students, Clients and Well wishers.

-Mahesh Babu Channa, Founder & CEO, Social Prachar

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Program Overview

Key Highlights

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Internship Offers for Freshers

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Weekly Assignments

responsive

Dedicated Portal

doubtsessions

Timely Doubt Sessions

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Dedicated HR Team

curriculum

Advanced Curriculums

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1-1 Mentorship

certificate

Certificates

resume

Resume Preparation Tips

interview

Interview Guidance and Support

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  • According to Market estimates, close to 1,20,000 positions related to Analytics & Data Science are currently available to be filled in India.
  • This is almost 45% jump in the open job requirements, compared to last years job to employment ratio.
  • Compared to worldwide market estimates, India contributes 8% of open job openings currently. Growth in the number of data science jobs globally was very much higher than India but India will lead the job growth market by 2x before 2022.
  • Top 10 leading organizations with the most number of analytics openings this year are – Accenture, Amazon, KPMG, Honeywell, Wells Fargo, Ernst & Young, Hexaware Technologies, Dell International, eClerx Services & Deloitte.
  • Almost 90% of analytics jobs advertised in India are of a full-time basis. Just 10% form the part-time, internship or contractual jobs.
  • Top designations advertised are: Data Scientist, Data Engineer, Analytics Manager, Business Analyst, Research Analyst, Data Analyst, SAS Analyst, Analytics Consultant, Statistical Analyst etc
  •  Top industries hiring analytics talent: BFSI sector has the maximum demand for data science skills in India followed by e-commerce and telecom, Banking etc 
  • Increase in Data Science jobs offering more than 15 lakh per annum based on the experience of the candidate, companies and their requirements.
  • Current Hiring trend indicates demand for junior level talent rises with  According to our estimate, as compared to the previous year and Senior profiles are always Hottest in the market.

Call our Quick Helpline 8019 479 419 for Instant Help.

Data Science Course Highlights

Realtime Expert Trainers
Dedicated portal for Practice
Job Support
Weekly Assignments
Live Projects to work

Who to Join Data Science course

IT Professionals,
Data Analysts, Business Analysts,
Functional Managers,
Graduates, Post Graduates
Also, anyone having interest in Data Science is free to attend our workshop.

Data Science Job Roles Available

Business Intelligence Analyst
Data Mining Engineer
Data Architect
Data Scientist
Senior Data Scientist

Data Science Job Market in 2019

Sexiest Job of 21st Century. Data Scientist is the Sexiest Job of the 21st Century by Harvard university
5,000+ unique job postings for data scientists each month.
3,00,000+ Skilled Data Scientists required by the End of 2019.
Salaries range from $60,000 and up.
GlassDoor ranked it top place for popular jobs

Master Data Science with IBM certification program


CAREER+ Services (Hyderabad)

Start with a FREE orientation session

Data Science Training in Hyderabad

Quick list

Data Science course Curriculum

I. How to Be Successful with this Course

  • Train Your Brain
  • Methodology to Understand the Concepts Faster and Not Forget
  • Prepare Your Own PDF Material from IPython Notebooks
  • Plagiarism
  • Saving Your Work
  • Error Debugging

 

Module 1-Introduction to course

  • Introduction to corporate training
  • Software life cycle
  • Methodologies
  • Soft skills
  • Professional Ethics
  • Make you strength
  • Where I Stands?

    Module 2-Data science introduction

  • What is data science
  • Need for data science?
  • Data science vs Business Intelligence
  • Prerequisite for learning data science
  • What does a data scientist do?
  • Data science life cycle with example
  • Demand for data science

    Module 3-Installations

• Installations required for data science

Module 4 – R Programming

  • R Basics, background
  • Comprehensive R Archive Network
  • Demo of Installing R On windows from CRAN Website
  • Installing R Studios on Windows OS
  • Setting Up R Workspace.
  • Getting Help for R-How to use help system
  • Installing Packages – Loading And Unloading Packages

    Getting familiar with basics

  • Operators in R – Arithmetic,Relational,Logical and Assignment Operators
  • Variables,Types Of Variables,Using variables Conditional statements,ifelse(),switch
  • Loops: For Loops,While Loops,Using Break statement,Switch

    The R Programming Language- Data Types

  • Creating data objects from the keyword.
  • How to make different type of data objects.
  • Types of data structures in R
  • Arrays And Lists- Create Access the elements
  • Vectors – Create Vectors,Vectorized Operations,Power of Vectorized Operations Matrices-

    Building the first matrices,Matrix Operations,Subsetting,visualising subset

  • Data Frames- create and filter data frames,Building And Merging data frames.

Functions And Importing data into R

  • Function Overview – Naming Guidelines
  • Arguments Matching,Function with Multiple Arguments
  • Additional Arguments using Ellipsis,Lazy Evaluation Multiple Return Values Function as

    Objects,Anonymous Functions

  • Importing and exporting Data into R- importing from files like excel,csv and minitab.
  • Import from URL and excel Files
  • Import from database.

    Data Descriptive

  • Statistics, Tabulation, Distribution
  • Summary Statistics for Matrix Objects. apply() Command. Converting an Object into a Table
  • Histograms, Stem and Leaf Plot, Density
  • Normal Distribution

    Graphics in R – Types of graphics

  • Bar Chart, Pie Chart, Histograms- Create and edit.
  • Box Plots- Basics of Boxplots- Create and Edit Visualisation in R using ggplot2.
  • More About Graphs: Adding Legends to Graphs,Adding Text to Graphs, Orienting the AxisLabel.

    Module 5 -Python programming

  • Introduction to python
  • Operators
  • Data Types
  • Control Statements
  • Functions
  • Data Structures – Lists, Sets, Tuples, Strings, Dictionaries,
  • OOPS Concept

    Module 6 -Libraries

    • Numpy
    • Pandas
    • Scipy
    • Scikit-Learn • Keras

    • Matplotlib • Seaborn
    • Cufflinks • NLTK

    Note: Installations and work end to end. As per requirements going to work with different libraries.

Module 7 – Data Exploration

  • Collecting data from different sources
  • Analyzing data
  • Data preprocessing
  • Data munging
  • Data mining
  • Data manipulation
  • Data visualization
  • Feature Selection
  • Feature Scaling
  • Dimensionality reduction

    Module 8 -Statistics

  • Basics of Statistics
  • Descriptive Statistics
  • Inferential Statistics
  • Qualitative vs. Quantitative Analysis
  • Hypothesis Testing
  • Data Distribution

    Module 9 – Other Mathematics Concepts

  • Probability
  • Calculus
  • Linear algebra

    Module 10 -Machine Learning

  • Introducing Machine Learning models
  • Supervised learning
  • Regression and Classification models
  • Unsupervised learning
  • Clustering and Aggregation models
  • Semi supervised learning
  • Over fitting and under fitting(Linear, Logistic, Navi Bayes, K-Nearest Neighbors, Support Vector Machine, Decision Trees, Random Forest …..)Note: Deals with Mathematics and Programming part

    Module 11 -Deep Learning and other algorithms

  • Introduction to Deep learning
  • OpenCV
  • Artificial Neural Networks
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Tensor flow
  • Over fitting and under fitting

Module 12 -Natural Language Processing

  • Introduction to NLP
  • Text Preprocessing
  • Lemmatization
  • Stemming
  • Text to features
  • Important Tasks in NLP
  • Important Libraries for NLP

    WORKING ON DATA SCIENCE PROJECTS

  • Examine your problem
  • Prepare your data (raw data, feature extraction, feature engineering, etc.)
  • Spot-check a set of algorithms
  • Examine your results
  • Double-down on the algorithms that worked bestNote: Deals ‘n’ number of real time projectsWORK ENVIRONMENT
  • Status meetings
  • Meetings with stockholders
  • Participating in gathering requirements
  • Working on client projects
  • Coordinating teamSystem Requirements
  • Ram 4GB Min
  • Hard Disk 250GB
  • Processor i3 Min

II. Monthly Tests

III. Mock interviews

IV. IBM Certification

 

Course Highlights

1.  A Dedicated Portal For Practicing.
2. Real Time Project Data Models to Work
3. 1-1 Mentorship
4. Internship Offers for Freshers.
5. Weekly Assignments.
6. Weekly Doubt Sessions
7. Advanced Curriculum
8. Certificates On successful Completion of Project .
9. Resume Preparation Tips
10. Interview Guidance And Support.
11. Dedicated HR Team for Job Support And Placement Assistance.
12. Experienced Trainers.

Course Highlights

  1. A Dedicated Portal For Practicing.
  2. 1-1 Mentorship
  3. Internship Offers for Freshers.
  4. Weekly Assignments.
  5. Weekly Doubt Sessions
  6. Advanced Curriculum
  7. Certificates On successful Completion of Project .
  8. Resume Preparation Tips
  9. Interview Guidance And Support.
  10. Dedicated HR Team for Job Support And Placement Assistance.

Call Our Career Advisor Now for Requisite Details.

In the News

Data Science and Machine Learning career Opportunities

Frequently Asked Questions

What about Your Data Science Course Details ?

We are Providing 3 Month and 6 Month Curriculums on Data Science includes 2 Real Time Projects, MNC certifications, Job support, Community Meetups, Bootcamps etc to Build your Career into data science field.

What type of Training Modes You Provide?

Right Now we are offering Daily, Weekend, Online modes of Training. Check our Upcoming Batches page for the latest coming up Classroom,Online and weekend batch schedules.

Who are Eligible to Learn Data Science?

  • IT Professionals,
  • Data Analysts,
  • Business Analysts,
  • Functional Managers,
  • Graduates,
  • Post Graduates
  • Also, anyone having interest in Data Science

What skills do I need to Master Data Science?

You need to get skilled on following, in order to take a deep dive in this field.

  • Statistic and probability
  • Algorithms
  • Programming Languages (Java, Scala ,SQL, R, Python)
  • Data mining
  • Machine learning
  • Deep Learning

What is the Data Science Job Market Now ?

  • Sexiest Job of 21st Century. Data Scientist is the Sexiest Job of the 21st Century by Harvard university
  • 6,000 unique job postings for data scientists each week.
  • 3,00,000+ Skilled Data Scientists required by the End of 2019.
  • salaries range from Min 3L per Annum to 20 L per Annum.
  • GlassDoor ranked it top place for popular jobs

Do You Provide Job Placements ?

Yes, We have a Dedicated HR team for Placement support Like Resume Preparations, Mock Interviews, Main Interviews, Company Tie-ups etc

What Type of Certifications You Provide After the course ?

We Provide Data Science Mastery Certificate from Social Prachar and Two More MNC certifications. Get In touch with the Team for more details about all our certifications.

Do You Provide Hands-on Experience ?

Yes All the data science Trainees need to work on min 2 Real Time projects for Better understanding of Real Time Data Science Methods and Techniques.

What about Trainer Faculty experience ?

Our Trainer Faculty is from Top MNC’s who has 10+ years of Experience with Real time clients. They will Mentor you all the way till you will get confidence on the subject. We have Community meetups,Boot Camps,workshops etc where you can meet the industry experts.

What is data Science ?

Data Science is the New Buzz word is the Market Right Now !

Data Science involves using automated methods to analyze massive amounts of data and to extract knowledge from them. A Data Scientist is someone who is better at Statistics than any software Engineer and better at Software Engineering than any Statistician. They are responsible for discovering insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals.

I am 2019 Fresher Am i Eligible to Learn Data Science course?

Yes, You are Eligible to Learn Data Science Course If you are Okay to Learn Programming and Good with Mathematics and Business Knowledge

What are the Modules you cover in Data Science Course ?

We will Start from basics Like Introduction to Data science,R,Python,Deep Learning,Statistics,Machine Learning, Hadoop, Spark, SQL Etc with Two Real Time Projects at the End for Better Understanding of Data Science.

I have 3+ Years IT experience, am i Eligible to Learn Data Science Course?

Yes, Undoubtedly Your Profile is Eligible to Learn Data Science course.

I'm from EEE background , can I go for data science , I don't have basics of any programming language

Yes, you can if you are willing to learn python programming and good with mathematics and statistics.

I don't have any engineering background can I still learn data Science.

All Bsc, BCom, BTech, MBA, MTech MCA are eligible to learn Data Science.

Will this be best option for MBA finance students? How will it be helpful for finance students??

Now its booming so anyone who completed Btech/MBA/Degree etc can learn, but only if you are willing to learn programming.

I'm weak at Mathematics, Can I opt Data Scientist as my career ?

Yes you can opt but need to work a lot on maths. Our team will provide you the required material to overcome.

I'm from Pharmacy background. Please suggest me whether am I applicable to do this course?

Yes, IF, You have less than 0-2 years in Pharmacy you can learn. And also if u are willing to learn programming you can learn data science.

I'm from mechanical background, but i want to learn data science , is it possible to understand without knowledge in languages like c , java knowledge

Yes, you can learn easily. Our curriculum starts from scratch, so you can learn without much confusions.

Hello am from medical science field am I eligible for this course

No. If its just for learning no problem. But if u need to make a career into data science, it will be little tough.

Is there any minimum percentage criteria of graduates for jobs in data science

No Minimum criteria but need to have good knowledge on Mathematics.

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