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30 Hrs Instructor Led Training
Certification & Job Assistance
20 hrs of Lab Sessions
Pay in 2 Installments
Flexible Schedule
24 x 7 Lifetime Support

DATA SCIENCE ONLINE COURSE CONTENT

Data Science course content at Mindmajix is designed by the expert authors who hold firm real-time experience in artificial intelligence, machine learning, deep learning, and many other latest technologies. Our latest 2021 Data Science course curriculum focuses on present industry requirements and helps you to successfully crack data science interviews and upgrade your career path. You will learn the complete data science syllabus under the following sections

In this module, you will learn the basics of data science and R programming, Importance of Data Science.

Topics covered in this section are: 

  • What is Data Science
  • Significance of Data Science in today’s world.
  • R Programming basics

Learning Outcomes: By the end of this module, you will get a fundamental idea about data science and R programming.
 

This python fundamentals module discusses the python concepts required for a data scientist. 

Topics covered in this section are: 

  • Python Introduction
  • Indentations in Python
  • Python data types and operators
  • Python Functions

Learning Outcomes: By the end of this module, you will get the basic Python programming knowledge.
 

This module deals with the basic concepts of data structures and data visualization.

Topics covered in this section are: 

  • Data Structures Overview
  • Identifying the Data Structures
  • Allocating values to the Data Structures
  • Data Manipulation Significance
  • Dplyr Package and performing different data manipulation operations.

Learning Outcomes: Upon completing this module, you will be able to understand the significance of Data structures and Data manipulation in Data science.
 

This module discusses topics like Data visualization, types of graphs, Ggplot2 package, bar plots creation, Univariant, and Multivariant analysis.

Topics covered in this section are: 

  • Introduction to Data Visualisation
  • Various kinds of graphs, Graphics grammar
  • Ggplot2 package
  • Multivariant analysis by using geom_boxplot
  • Univariant analysis by using the histogram, barplot, multivariate distribution, and density plot.
  • Creating the bar plots for the categorical variables through geop_bar() and including the themes through the theme() layer.

Learning Outcomes: At the end of this module, you will be able to visualize the data through different graphs, Ggplot2 package. Also, you will get a real-time experience of bar plot creation, Univariant, and Multivariant analysis. 
 

This Data Science online classroom training module deals with statistics concepts like Classification, Probability Types, Covariance, and Correlation. Along with this, you will learn how to analyze the given data set through Data Sampling, Hypothesis Test, and Binary Distribution.

Topics covered in this section are: 

  • Statistics Importance
  • Statistics classification, Statistical terminology.
  • Data types, Probability types, measures of speed, and central tendency.
  • Covariance and Correlation, Binary and Normal distribution
  •  Data Sampling, Confidence, and Significance levels.
  • Hypothesis Test and Parametric testing

Learning Outcomes: By the end of this module, you will gain practical knowledge of different statistical concepts like Probability types, Hypothesis test, Covariance. You will also be able to work with other statistics techniques like Correlation, Data sampling, Normal and Binary Distribution.
 

+ 16 more lessons

Projects

  • To test your knowledge on Data Science Training , you will be required to work on two industry-based projects that discuss significant real-time use cases. This will also ensure hands-on expertise in Data Science Training concepts.
  • These projects are completely in-line with the modules mentioned in the curriculum.

Project Description: This project deals with doing predictive analysis based upon the available data as to which insurance policy will be beneficial for a particular age group of people.

 

Domain: Insurance

 

This project covers the following topics

  • Statistical analysis

  • Probability and its types

  • Association rule

  • Recommendation engine

  • Collaborative user-based filtering

Project Description: This project will help you in analyzing the available traffic on the road in a particular area at a specific time period. This works on capturing the GPS location of mobile phones. It calculates the number of mobiles available in that area at that time and predicts the traffic situation accordingly.

 

Domain: Social

 

This project covers the following topics:

  • Data visualization

  • Data mining

  • Plotting charts, graphs, bars, etc

  • Correlation and covariance

Project Description: In this project, you will work on types of customers and their shopping behaviours. Every individual has a different type of mood, choice, and shopping pattern and you can categorize your customer more or less under a particular category. Based upon their category, you can predict their choices and decision whether he/she is going to buy or not.

 

Domain: Retail

 

This project covers the following topics:

  • K-means clustering
  • Classification trees and decision trees
  • Association rule mining
  • Apriori algorithm and its implementation process in R

Project Description: This project deals with understanding the real-time problem statement, manipulating data, and then building an application.

 

Domain: Mobility

 

This project covers the following topics:

  • Correlation and covariance

  • Probability

  • K-means

  • Cost complexity pruning, pre-pruning, and post-pruning

Project Description: This project helps you to manipulate the available data at that location to predict whether setting up a new venture will be profitable or not.

 

Domain: Social

 

This project covers the following topics:

  • Introduction to component analysis, PCA in R, and procedure to implement PCA

  • K-means

  • Data mining, visualization, clustering

  • Decision trees and random forest

  • Confusion matrix, accuracy, true positive rate, false-positive rate

Project Description: You will do a thorough analysis of the previous trends of the company before buying its share.

 

Domain: Investment

 

This project covers the following topics:

  • Regression analysis

  • Random forest in R, and other data implementation techniques

  • Cross-validation and building logistic models based on real-life applications of regression

  • Probability

Project Description: This project is quite interesting when you are willing to change your job stream. This is a bit risky when you are entering into a new field altogether. You have to analyze the pros and cons, such as cost of undergoing training, efforts, time, waiting period probably and most importantly salary for the new role. You can use TensorFlow in R, and deep learning on the ground data to make the decision.

 

Domain: Human resource

 

This project covers the following topics:

  • TensorFlow in R

  • Deep learning

  • Probability

  • Data mining and visualization

Project Description: In this project, based upon user’s genre preferences, using R programming you can model a recommendation system that can suggest a movie to watch.

 

Domain: Entertainment

 

This project covers the following topics:

  • Artificial intelligence and deep learning

  • Evaluation with ROCR, detailed formulas

  • Evaluate performance metrics

  • Predictive analysis using linear regression

Project Description: This project will help you prepare a system using machine learning algorithms and R programming to detect the credit card fraudulence.

 

Domain: Finance

 

This project covers the following topics:

  • Machine learning algorithm

  • R programming

  • Canopy clustering, Hierarchical clustering, and Theoretical aspect of K-means  

  • Probability

Project Description: Uber takes help from data analysis greatly to expand its reach rapidly. This project helps you to learn how Uber takes a decision, improves marketing strategy, offers promotional deals using data analytics.

 

Domain: Transport

 

This project covers the following topics:

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Self-Paced E-Learning
  • Learn at your convenient time and pace
  • Gain on-the-job kind of learning experience through high quality Data Science videos built by industry experts.
  • Learn end to end course content that is similar to instructor led virtual/classroom training.
  • Explore sample Data Science training videos before signing up.
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Live Online Training
  • Live demonstration of features and practicals.
  • Get LMS access of each Data Science Online training session that you attend through GotoMeeting.
  • Gain guidance on certification.
  • Attend a Free Demo before signing up.

Next Demo Sessions

18 Apr, 2021 (Weekday)
21 Apr, 2021 (Fast Track)
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  • Self-Paced/Live Online/Classroom modes of training available.
  • Engage in Data Science Classroom Training lecture by an industry expert at your facility.
  • Learn as per full day schedule with discussions,exercises and practical use cases.
  • Design your own course content based on your project requirements.
  • Gain complete guidance on certification.
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DATA SCIENCE TRAINING ONLINE UPCOMING EVENTS

  • Weekday

    18 Apr, 2021 - 18 May, 2021

    08:30 PM EST
  • Fast Track

    21 Apr, 2021 - 06 May, 2021

    08:30 PM EST
  • Weekend

    24 Apr, 2021 - 29 May, 2021

    08:30 AM EST
  • Weekday

    25 Apr, 2021 - 25 May, 2021

    08:30 PM EST
  • Fast Track

    28 Apr, 2021 - 13 May, 2021

    08:30 PM EST
  • Weekend

    01 May, 2021 - 05 Jun, 2021

    08:30 AM EST
  • Timings Doesn't Suit You ?

    We can set up a batch at your Convenient time.

    Let us know

    DATA SCIENCE ONLINE TRAINING OBJECTIVES

    Besides providing fundamentals of Data Science, Mindmajix training assists you in completing the valuable certifications, taking up real-time projects, and helps you in placements in the top companies of the industry. There are various options available based upon your availability to take up this training -- Self-paced training, Online instructor-led training, and corporate training. 

     

    Furthermore, Mindmajix offers you Data Science training with the Python language, which is a user-friendly English-like language and easy to learn. Python is most commonly used these days because of its simple syntax, robust library, portability, and web usability.

     

    Mindmajix also encourages you for this training by providing you 24/7 support, allows you to pay in two instalments, and most importantly, it can be designed based upon your specific needs.

    The demand for Data Scientists is increasing every day. Huge data is available in the market, but the challenge lies in analyzing this database that shows the road map for business to grow. These days, companies are in tough competition to leverage big data analytics and data science to get the nerves of users first, to benefit from the first mover’s advantage.

    • According to a survey conducted by IBM, up to 2,720,000 data scientists job openings will be there in 2020.

    • Every organization has realized that they need data scientists to gain maximum benefit from the available data.

    • Almost all the sectors including cyber-security, healthcare, defence, education, IT need data scientists.

    Getting certified in Data Science is beneficial for the following job roles:

    • Big Data, Analyst and Business Intelligence Professionals
    • Machine Learning Professionals
    • Predictive Analytics and Information Architects
    • Big Data Statisticians
    • Individuals seeking a Data Science career

    Your interest and willingness is the only thing you need to have for attending this training. Even if you can’t pay the whole amount at one time, we encourage you to pay in two instalments but don’t stop you from the enrollment. Mindmajix is completely focused on your learning, gaining knowledge, and getting a good job.

    After completing this training, the learners will be in a position to master the following areas:

    • Roles and responsibilities of a Data Scientist
    • Machine Learning algorithms
    • Integrating R with the Hadoop ecosystem
    • Linear and logistic regression
    • Clustering, analysis segmentation, and prediction
    • Deploying recommender systems
    • Data interpretation, plotting techniques, and sampling methods

    Based upon the responses received by Payscale.com, the average salary of an entry-level data scientist can be 508,682/-. IT professionals with 5-9 years of experience can expect an average salary of  610,811/- whereas, with 10-19 years of experience, a Data scientist can expect 1,724,618/-

     

    In the US, a Data Scientist can earn $ 113,309 on an average.

    This is a prestigious job, the name Data Scientist itself has a great weightage in itself. When compared to other jobs on the same level of experience and for the similar kind of educational background, you earn more comparatively. It’s just a matter of your interest! If you are interested in working smartly and creatively, and earn more, this role is waiting for you.

    The first milestone for a Data Scientist aspirant is to learn programming languages such as Python, R and get hands-on analytical tools such as SAS. The next stage could be getting knowledge of big data analytics and statistical tools, for example, Hadoop, Spark. Yet another milestone could be understanding of visualization, charts, maps, and reports to analyze the large chunk of data.

    You as a Data Scientist have enough potential to give the direction to your business -- the shortest path to succeed. You perform data analysis, data mining, statistical analysis using available tools to predict the solutions for better business performance.

    Almost all companies have started creating positions for Data Scientists including  Microsoft, Google, Amazon, Accenture, IBM, and Capgemini.

    DATA SCIENCE CERTIFICATION

    Our Data Science course covers all the topics that are required to clear Data Science certification. Trainer will share Data Science certification guide, Data Science certification sample questions, Data Science certification practice questions.

    Our Course in Comparison

    Features

    • Demos at Convenient Time?
    • 1-1 Training
    • Batch Start Dates
    • Customize Course Content
    • EMI Option
    • Mock Interviews after Training
    • Group Discounts

    Mindmajix

    • At your Convenience

    Others

    • Fixed

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    Frequently Asked Questions on Data Science Course

    Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.

    Yes, we accept payments in two installments.

    If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.

    User Reviews on popular courses

    KRUTI PUTUMBAKA
    5.0

    Earlier I have taken many online training courses but definitely Mindmajix is the best among them. The quality they maintain is appreciable. Training sessions are well structured and the trainer explained each and every concept with real-time scenarios. I truly recommend this course for the learners who want to gain expertise in Data Science.

    Kumar Allada
    4.0

    Checking other reviews, first time I have enrolled for the Data Science course from Mindmajix and it was really excellent. The trainer was an experienced professional and covered concepts with real-time examples. This made me easy to understand and I thoroughly enjoyed training sessions.

    Naresh Kumar
    5.0

    I have learned a lot from this training which I missed in my previous training institute. You helped me understand the data science concepts really well. Thankyou Mindmajix for your efforts.

    Asif Hasan
    5.0

    I took .NET training from Mindmajix. I must say the course content was highly qualitative and the trainer covered all concepts. Overall it was a good experience with Mindmajix.

    Ashim Sen Gupta
    5.0

    Thank You for the sessions that helped me gaining knowledge in Spotfire training. Trainer's experience helped me to get the detailed information regarding the key concepts and challenging tasks in real-time. Thanks once again.

    Preetam Shinde
    5.0

    Perfect sessions to know all the key concepts of Spotfire certification training. Thanks to the support team as well. Thanks to Mindmajix.

    Vedhanathan M
    5.0

    Servicenow training offered by MindMajix is excellent, and you clear Servicenow certification very easily after attending this training, and also you will get the real time view of the Servicenow.

    FIND ONLINE DATA SCIENCE TRAINING IN OTHER LOCATIONS

    To meet the learning needs of people spread across various geographical locations, we are offering our high-quality training services at the location of your choice to ensure you obtain maximum impact for your training investment. Choose your city below.

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