data-science-training

Data Science Online Training

Looking for Data Science Online Training? Take a breath a relief with Online IT Guru’s Data Science Online Training. [expand title=”Read More…” trigpos=”below”] Pursue/study Data Science Online Training from Online IT Guru. We have a 100% placement record Data Science Online Training

About Data Sciences

Data Science is an interdisciplinary concept which deals with various systems and processes to infer knowledge from structured and unstructured forms of data. The study of Data Science includes techniques, methods and theories from various traditional sciences like Mathematics, Statistics and many more.

The Online Training course on Data Science involves a study of few of the earlier mentioned sciences in the perspective of programming, relational data and Big Data.

Data Science in the sphere of technology has almost become like the foundation and a necessary prerequisite for the employees of various major firms. Learning about Data Sciences has now turned into a necessity not an option.

Why Online IT Gurus’ Online Training in Data Science?

Online IT Guru has been providing various technical solutions and services to different firms in India and abroad very diligently. The faculty Teaching Online Training Courses in Data Sciences also have many valuable years behind them while working in the industry. The entire structure of the course is designed to help the students learn about the industry while learning the basics of Data Sciences. There is a great emphasis given on the practical knowledge and the enhancing application capability of students at Online IT Guru.

The Content of Online Training Course on Data Science consists of:
• Probability and Statistics in a Data Science perspective
• Data Science Methodologies combined with the basics of Data Analytics and Big Data
• Visualization with relational Data and Tableau
• Advanced Data Analytics with Machine Learning
• Case Studies.

With the emphasis on practical learning and real-time projects, combined with the industry experience of Online IT Guru, students have a great opportunity of finding a good placement. Know more about Online Training Courses on Data Sciences by going through the content below.

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Course Information

The term Data Science refers to the interdisciplinary concept dealing with systems and process to derive knowledge from both structured and unstructured from different forms of data.

Data Science uses techniques, theories and methods extracted from various types of sciences like mathematics, information science, computer science, statistics and many others.

Who can take this course?

This course runs with essential Knowledge on Mathematics, Probabilities, and Statistics. It is one of the most valuable Career paths in light of this cross-industry trend. Understudies who have knowledge Mathematics and Statistics had great opportunities. Data science affects academic and connected with numerous fields such as Software Development, Data Managing, Databases, Statistics, Machine Learning Algorithms and Data Visualization. The following Professionals can do this course:

  1. Developers
  2. Analytics Managers
  3. Business Analyst.
  4. Hadoop Professionals

What Are The Prerequisites?

Little information on Mathematics,Statistics, and Aptitude is required. R language and Mahout to look over the basics required for the course. Algorithms, SQL, Coding, and Hadoop are benefited to learn quickly. The trainer will give self-guidance for requirements to the course.

Beneficiaries with Online IT Guru!

A course of Data Science with Online IT Guru gives an insight into few of the above mentioned sciences and the respective theories adopted from them along with their connection with Big Data, Relational Data and programming.

The course includes these topics:

Probability and Statisticsis taught to the students with Data Science perspective. Students will be taught Relational Programming along with Data Production.

Data Science Methodologies combined with concepts of Big Data, basics of Data Science and Data Analytics Life Cycle along with required for a Data scientist constitute the phase 2 of the course.

Basic Data Analytics Method is the phase 3 of the course. In this phase, students will be taught about Data Import and Export along with their manipulations, Exploratory Data Analysis, basic relational commands and few other important topics.

Visualization with relational data and Tableau is the Phase 4 of the course. The basic introduction to Tableau along with importing Data and manipulating it is taught. The concept of Data Visualization is also covered in this phase.

Phase 5 constitutes Advanced Data Analytics combined with Machine Learning Concepts like Clustering, Regression and Classification are taught with respect to Data Analytics concepts.

6th phase of the Course encompasses few case studies for the students to learn all the above mentioned concepts in a real time environment. There are typically three Case studies in this phase which might vary in number with Online IT Guru faculty’s discretion.

Hands-on experience

Online IT Guru has immense experience in proving Data Science based Services to many major cities in India and Abroad. Their faculty has experience in working in the industry in this Domain. The faculty provides real time assignments to the students to prepare them exceptionally well in the subject.


Course Features

Online Course Duration Course Duration : 70 Hrs

Highly interactive, reliable and quality learning sessions of the course are conducted by Online IT Guru. For a better learning experience, the courses are divided into distinctive phases and sessions.

Realtime Project Work Hands on Experience

Every module shall be followed by a practical experience of lab exercises. At the end of the course, the students will have to build a project on the concepts that were taught to them during the course duration.

Access Duration Life time Access Duration: Lifetime

Students will have a life time access to the course materials provided by Online IT Guru. Students also have an opportunity to decide the duration of the course as per their schedule and convenience.

24x7 Support 24 X 7 Support

Concerned faculty can be contacted by the students if they are looking for help and assistance with respect to the course and its material. Students can approach their respective faculty to clear their quires either by email, phone or through live chat.

Online Course Certification Get Certified

At the end of the course, students will have to fare well in quizzes and testes conducted by the institute and the faculty in order to receive the required certification. To clear the Certification test with flying colours, students will be given model questions and certification dumps that would make them confident about attempting the test to get their Certification.

Placement Assistance Job Assistance

Online IT Guru will help students find job opportunities with the newly acquired skill set. Online IT Guru has a varied bunch of Clientele around the globe, over 30+ companies in USA and India that have experience in working with different technologies. We would pass your resumes to them after the completion of the course and ensure that the students achieve 100% placements. During the testing and interview process for them, the required assistance shall be provided by Online IT Guru.

Core topics of Data Science Online Course

 

Introduction to Linear Algebra

  1. Linear Algebra I

An introduction to linear algebra, vector, matrix, Elementary operations of Matrices, general numerical approach to solving systems of equations, Matrices approach to solving systems of equations,

  1. Linear Algebra II

Determinant, Gaussian elimination Method, Row Echelon Form, Reduced Row Echelon Form, Eigen values and Eigen vectors.

  1. Permutations and Combinations

Fundamental Rules of Counting, Introduction to Probability, Examples.

  1. Linear inequality

Linear Inequality (Graphical method), Introduction to Linear Programing Problem (Graphical method).

  1. Curve fitting

Straight line fitting, Parabola (Polynomial) fitting, Exponential curve fitting.

Introduction to Programming

  1. Overview of R, R as calculator
  2. R data types and objects, functions, classes
  3. Control structures, Loop functions (if, else)
  4. Data Exploration functions in R (summary of data)
  5. How to import data from various sources like SQL, Excel, csv formats to R
  6. Visualization including Plots and Dashboards in R
  7. Data Manipulation in R

Statistics and Probability

  1. Foundation of Statistics
  • What is Statistics?
  • Population and Sample
  • Types of measurements / Data
  • Variables
  • Categorical and Quantitative Variables
  • Branches of Statistics
  • Descriptive Statistics
  • Inferential Statistics
  • Exercises and applications
  1. Descriptive Statistics
  • Introduction
  • Central Tendency
  • Measures of Central Tendency
  • Measures of Variation Dispersion
  • Measures of Position
  • Measures of Quality and Outliers
  • Exercises and applications
  1. Random Variables
  • Probability Mass Function
  • Probability Density Function (PDF)
  • Cumulative Distribution Function (CDF)
  • Expected Value
  1. Probability Distributions – I
  • Applications of concepts
  • Bernoulli distribution
  • Binomial Distribution
  • Poisson distribution
  • PDF / CDF / Using Functions in “R”
  • Exercises and applications
  1. Probability Distributions – II
  • Normal Distribution
  • Students T-Distribution
  • Chi-square Distribution
  • F-Distribution
  • Applications of concepts

6.Estimation – I

  • Sampling
  • Sampling Methods
  • Central Limit Theorem
  • Point Estimation
  • Sample Mean and Variance
  • Exercises and applications
  1. Estimation – II
  • Interval Estimation
  • Confidence Intervals
  • Sample Size
  • Application of concepts

 

  1. Regression Analysis
  • Types of Regression Analysis
  • Linear Regression
  • Multiple Regression
  • Other Types of Regression
  • Applications of concepts
  1. Testing of Hypothesis – I
  • Statistical Hypothesis – Fundamentals
  • Steps in Hypothesis Testing
  • Classical and p-value methods
  • Exercises and applications
  1. Testing of Hypothesis – II
  • Hypothesis Testing – Proportions
  • Hypothesis Testing – Means
  • Hypothesis Testing – Variances
  • Exercises and applications
  • Programming with statistics

Advance Statistics

  • ANOVA
  • Chi-square test
  • Time Series Analysis
  • Factor analysis
  • Principle Component analysis
  • Discriminant analysis
  • Exploratory Data Analysis
  • Statistics quality control

Introduction to Machine Learning

Introduction Data Science, Data and Big data, Predictive Analysis, Machine Learning, Data Mining, Soft computing, Neural Network, Deep learning;

Introduction to Machine learning: Machine Learning Basics, how machines learn, Machine learning in practice, Types of Machine Learning

Machine Learning Algorithms

  • Linear regression
  • Logistic regression
  • Knn classification
  • k-means clustering
  • decision tree
  • random forest
  • gradient descent

Advanced Machine Learning

  • SVM
  • Naïve Bayes
  • Gradient boosting
  • Neural networks.

Natural Language Processing

  • Introduction to NLP
  • Tokenization, Morphology, Stemming
  • POS Tagging
  • Parsing
  • Semantics, Representing and Understanding Meaning, Knowledge Representation
  • Text classification and clustering algorithms
  • First Order Logic, Inference
  • Sentiment Analysis, Sentiment Lexicons
  • Summarization
  • Information Extraction
  • Named entity recognition.
  • String matching algorithms.
  • Basics on Chatbot

Introduction to Deep Learning

  • Tensor flow (Keras)
  • Neural networks
  • Image recognition
  • Image classification

Cloud ML

  • Azure ML studio.
  • AWS machine learning.

Business Intelligence &Visualizations

  • Qlik Sense.

Use Cases of Big Data

  • Insights to participants on business applications and use cases in various functional areas like telecom, retail, ecommerce, airline, healthcare, and etc.

 

Certification

  1. A trainer has an awesome knowledge

    Excellent. This was my first Onlineitguru course. So far the best course in Data science. A trainer has an awesome knowledge on his subject and communicates very friendly. It is a course that will clear your essentials and make a solid establishment for data science. However, I absolutely love it! Thank you Onlineitguru.

    Online Training Reviews

    Shashi Rekha Thammaneni

  2. I had the satisfaction of meeting the Onlineitguru

    Can’t spring very great things! I had the satisfaction of meeting the Onlineitguru. I’d designate the course to any individual who needs to take a few to get back some Data science basics. I’ll surely look to Onlineitguru when I’m ready to level-up.

    Online Training Reviews

    Bhushan

  3. Support and Staff

    The course is awesome. Trainer and community support are incredible, and a great organization trade with the item. A programmer will join every student with a guide is such an incredible feeling, to the point that I profit by excessively. I am excited to get significantly more practice with my recently gained experience. Thank you Onlineitguru for your support.

    Online Training Reviews

    Prudhvi Bharath Reddy

Contact Us
+1 469 522 9879
+91 988 599 1924
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  • 70 hours of course presentations by hands-on experts
  • 65 hours of lab time
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