Data Science Online Training


Data Science Training

Data Science training will help you prepare in various aspects of Data Science like Data Acquisition from various sources, Data preparation, Data transformation using Map Reduce, analyzing different methodologies in data science, Application of Machine Learning Techniques etc., We train you with our well-designed strategies and get you to job ready.

Data Science is an interdisciplinary system about processes and methods to extract expertise or observations from data in several forms, sometimes structured or unstructured, which is a continuation of a number of the data analysis systems, for example, data mining, analysis, and predictive analytics, much like Knowledge Discovery in Databases. Data science implements tactics and hypotheses drawn from many fields in the broad areas of mathematics, chemometrics, statistics, computer science and information science, including signal processing, machine learning, probability models, data mining, statistical learning, database, data engineering, learning and pattern recognition, predictive analytics, visualization, uncertainty modeling, data compression, computer programming, data warehousing, high performance computing and artificial intelligence.

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Course NameData Science / R predictive Analytics Online Training
ContentsBasics of Data Science, manipulations, statistics, machine learning etc.
Duration70 Hours with Flexible timings
DeliveryInstructor Led-Live Online Training
EligibilityAny Graduate
Ideal ForFreshers, aspirants seeking to learn the Data Science
Live Online TrainingLive Data Science Training by Certified & Industry Expert Trainers by Providing On-Demand Server and Lab access.
AvailabilityRegular/Weekend Batches. 24×7 teaching assistance and support.

Course Objectives

What you’ll learn in Data Science Training Course?

  • Deep understanding of the Roles of a Data Scientist
  • How to use R, Hadoop, and Machine Learning to analyze Big Data
  • Understand the Life Cycle of Data Analysis
  • Learn the techniques and tools for data transformation
  • Understand Data Mining techniques and their implementation
  • How to use machine learning algorithms in R to analyze data
  • Understanding data optimization and visualization techniques
  • Understand the parallel processing features in R

Who can go for Data Science Training?

Data Science itself has many professions to enter into. One has good hands over programming and coding, any graduate or post-graduate with a mathematical or statistical background, a computer savvy well in analytics etc. can go for Data Science as their career option.

What are the pre-requisites to learn Data Science?

  • No Pre-requisites are required for Data Science Online Course.

Why learn Data Science Online Training Course?

For the last decade, the data generated by companies and individuals has been a massive explosion. Data science plays a major role in handling and modulating all these data. It is flourishing rapidly across the globe and it will play a great role in the upcoming digital world. Data Science training will get you ready to part of this ever-growing technology. We have designed data science online training course in a way to give a boost to your career. By the completion of the training, you can confidently update your profile with hands-on experience.

Check  Data Science Tutorial for Beginners and projects.

Data Science Career Growth

Course Curriculum

Download Course Curriculum


  • What is data science
  • AI vs DS vs Machine learning
  • Fields of data science
  • Applications of Data Science
  • Big Data
  1. Definition of Big data
  2. Applications of Big data
  3. Hadoop and Spark
    1. Hadoop
      1. Map-reduce
      2. HDFS
    2. Spark
  4. Tools and language
  • Natural Language Processing
    1. Definition of NLP
    2. Application of NLP
    3. Tools and Language
  • Machine learning
    1. Definition of Machine learning
    2. Types of Machine Learning
    3. Applications of Machine learning
    4. Tools and Languages
  • NoSQL Databases
    1. Definition
    2. SQL vs NoSQL Databases
    3. NoSQL databases tools
    4. Search Engine technologies


  • Installation
  1. Anaconda
  2. Environment creation
  3. Pycharm
  • Interpreter
  • Data types in Python
  • String data types
  • List
  • Dictionary
  • Tuple
  • Set
  • Functions
  • Classes
  • OOPS
  1. Encapsulation
  2. Inheritance
  3. Abstraction
  • Exceptional handling


  • Numpy Tutorial
  • Pandas Tutorial
  • Scipy Tutorial


  • Basics of NLP
  • Applications of NLP
  • Tokenization
  • Stopwords
  • Stemming and lemmatization
  • Part of Speech tagging
  • Named entity recognition
  • Custom NER system using OpenNLP (java)
  • Phrase Handling Application
  • Sentiment Analysis Application
  1. Feature Extraction process
    1. True/False model
    2. Count Vectorizer
    3. TF-IDF Vectorizer
  2. Creating Model using NLTK Naïve Bayes algorithm
  • Recommendation System Application


  • Scrapy Introduction
  • Xpath Introduction
  • Crawling Application


  • Basics of Machine Learning
  • Types of Machine Learning Algorithms
  1. Supervised
    1. Classification
      1. Logistic Regression
      2. K Nearest Neighbors
      3. SVM
      4. Decision Tree
      5. Random Forest
      6. Gradient Boosting
      7. Naïve Bayes
    2. Regression
      1. Linear Regression
      2. Polynomial Regression
      3. SVR
      4. Decision Tree Regressor
      5. Random Forest Regressor
    3. Unsupervised
      1. Clustering
        1. K Means Clustering
        2. Hierarchical Clustering


  • Backward elimination Process
  • P value
  • R Squared
  • Adjusted R Squared


  • Basics of Deep Learning
  • Neural Network
  1. Application: Second Hand Bike Price Prediction using Dense Neural Network
  1. CNN (Convolution Neural Network)
    1. Application: Image Classification Application
  2. RNN (Recurrent Neural Network)
    1. LSTM (Long Short-Term Memory
    2. Application: Custom NER system using LSTM
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SAP mm

5 5 1
Good course

Great Experience

5 5 1
I had a great experience learning online courses with Team IQ Online Training. The great support, light atmosphere and answering every question never made me miss blackboard, chalk and duster. Recorded sessions and 24*7 support are really good advantages and helps learning easy without any limitations on timings.

Class was Awesome

4 5 1
The class was awesome, got to learn so much from the lectures. An awesome learning experience from the highly skilled trainers. It was a great class today understood all concepts with practical examples.

good Postgresql material

5 5 1
The materail was very clear with all the topics. Postgresql was my first ever online course and it far exceeded my expectations.

Good Materials and excellent tutors to learn

5 5 1
Compared to other learning site, IQ Online Training, It is a good e-learning website with lots of trendy subjects, the customer support is good. Usually gets reply with 24 Hrs. Very supporting and understandable throughout learning completion. Site is compatible with almost all devices so we can learn anywhere. Not sure already exists, But Need to explore on offline learning during the times of no internet connectivity or working in a limited network zones.

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