Data Science Course Overview

Mindmajix Data Science course provides you with a complete package to become a knowledgeable Data Scientist. The training focuses on furnishing you with in-depth knowledge of data science right from its usage and applications, R statistical computing, data manipulation, data visualization, applying descriptive and inferential statistics on the data, and much more. Besides, you’ll also gain practical knowledge by executing real-time projects and providing solutions to the problems. In a nutshell, this Data Science online training makes you fully confident in facing interviews and working as a Data Scientist.

Why Should you learn Data Science ?

Key Features

Modes of Training

Self-Paced 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 trial videos before signing up.
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Preferred
Live Online Training
  • Live demonstration of 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

07 Mar, 2020 (Weekend)
11 Mar, 2020 (Weekday)
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Corporate Training
For Business
  • 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 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 2020 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

This session introduces you to the fundamental concepts of Data Science.

Topics covered in this section are:  

  • Data science life cycle 

  • Significance of Data Science in this data-driven world

  • Applications of Data Science 

  • Introduction to big data and Hadoop 

  • Introduction to machine learning, deep learning, R programming, and R Studio  

Learning outcome: By the end of this session, you will gain complete knowledge of how Data Science works in real-time and installation of R studio on your machine. You will also become familiar with simple calculations and logic using R loops, operators, and switches.  

Data Exploration section is one of the essential topics of Data Science training. Data exploration is an approach that is similar to initial data analysis where a data analyst uses it to understand what a data set is and know the characters that a dataset contains.  

Topics that we cover in this section are: 

  • Importance of data exploration in Data Science 

  • Extraction and exporting of data from various external sources 

  • How to conduct data exploration using R?

  • Data exploration methods 

  • Working with data frames

  • Operator in-built functions 

  • Looping statements and user-defined functions

  • Matrix, list, user-defined functions, and arrays. 

Learning Outcome: By the end of this session, you will gain hands-on expertise in accessing elements of churn data, usage of R to modify and extract the results from the data set.  

Data manipulation is one of the important concepts of Data Science. It helps in organizing data into an easily understandable format.    

Topics covered in this section are: 

  • Introduction to data manipulation

  • Need for data manipulation 

  • Discussing various functions such as mutate() function, sample_frac() & count() functions, Sampling & Counting with sample_n()

Learning Outcome: By the end of this session, you will gain hands-on expertise on how to implement DPLR to perform various operations such as data abstraction, data manip, and storing.

Data visualization is the internal and crucial part of Data Science. This section helps you to understand how to extract the hidden trends out of data and represent them in the form of charts and graphs.

Topics covered in this section are:              

  • Introduction to visualization

  • Explanation of different charts and graphs 

  • Introduction to graphics 

  • Building frequency polygons with geom_freqpoly

  • Numerical distribution with geom_hist() function,

  • Visualization with Plotly package & building web applications with shinyR,

  • Univariate Analysis with Bar-plot, histogram and Density Plot, and multivariate distribution,

  • Bar-plots for categorical variables 

  • Visualization with Plotly package & building web applications with shinyR,

  • Continuous vs categorical with box-plots, 

  • Intro to plotly & various plots, visualization with ggvis package, and themes to make the graphs more presentable,

  • Visualization with ggvis package

  • Building web applications with shinyR.

  • Visualization with ggvis package,

Learning Outcome: Upon completion of this module, you will come to know how the data visualization works and the customer churn ratio with the help of using ggplot2, Plotly for importing and analyzing data into grids. You will also come to know how to scatter plot works in real-time.

Statistics is an integral part of data science and plays an important role in it. Multiple statistical methods available are regression, classification, time series and hypothesis testing; data scientists use all these methods to run suitable experiments and also to summarize the data fairly & quickly.  

Topics covered in this segment are: 

  • Introduction to statistics and relation between Data Science and statistics.

  • The terminology used in statistics & categories of statistics. 

  • Central Tendency, Correlation & Covariance, Measures of Spread, standardization & normalization

  • Probability & its types 

  • Chi-Square testing, hypothesis testing, a binary distribution, normal distribution, and ANOVA  

Learning Outcome: You will gain complete knowledge on building a statistical analysis model that uses representations, quantifications, experiment data for collecting, reviewing, analysis and drawing conclusions from data.

+ 7 more lessons

Mock Interviews

  • Mock interviews by Mindmajix gives you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
  • Our mock interviews will be conducted by industry experts with an average experience of 5+ years. So you’re sure to improve your chances of getting hired!

How Mindmajix's Mock Interview Works?

Projects

  • To put your knowledge on Data Science Training into action, you will be required to work on two industry-based projects that discuss significant real-time use cases. You will gain hands-on expertise in Data Science Training concepts with this practical experience.
  • These projects are completely in-line with the modules mentioned in the curriculum and help you to clear the Data Science Training certification exam.

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:

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

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.

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Data Science Certification Training Course - FAQ's

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 will discuss with our instructor and will schedule according to the time convenient to you.

The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course.

The trainer is a certified consultant and has significant amount of experience in working with the technology.

We will take care of providing you with all that is required to get placed in a reputed MNC and also forward your resume to the companies we tie-up with. Starting from providing the in-depth course material to explanation of the real-time scenarios and preparing your resumes, we will make you gain expertise so that you can get a job.

We assist you completely in acquiring certification. We ensure you will get certified easily after 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.

Our trainer explains every topic along with real-time scenarios. In the last one or two sessions, the trainer will explain one end-to-end project to showcase the real time working environment.

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Find 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.

Data Science Training in Hyderabad

Hyderabad is the capital city of Telangana state and is well known for the major technology township, HITECH city, as well as India’s largest start-up ecosystem, T-Hub. It attracted more than 1500 IT firms including Apple, Microsoft, Amazon, Google, Salesforce, and many more. Therefore, the future scope of IT industry sounds great in Hyderabad with enormous opportunities for software professionals. Mindmajix Data Science Training in Hyderabad is designed to uplift your career in this domain.

Our Hyderabad Correspondence / Mailing address

Ecohouse Building, Nagarjuna Hills, Panjagutta Hyderabad Telangana 500082 India

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Data Science Training in Bangalore

Bangalore is the IT capital of India and is regarded as one of the top 10 fastest growing cities in the world with an average economic growth rate of 8.5%. The city has attracted a large number of IT firms, startup investments, research and development organizations, and many more. Data Science Training is an ever-changing field which has numerous job opportunities and excellent career scope. Our Data Science Training in Bangalore is designed to enhance your skillset and successfully clear the Data Science Training certification exam.

Our Bangalore Correspondence / Mailing address

91Springboard, 512/10, Service Lane, Outer Ring Road, Mahadevapura, Next to More Megastore, Bangalore - 560048 Karnataka

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