About Data Science Course

Mindmajix Data Science Training in Hyderabad develops all the skills needed to become an expert Data Scientist. The trainee undergoes world-class training from Certified Data Scientists on various aspects of Data Science such as Data Analytics, Machine learning algorithms, text mining, recommendation engines, Naive Bayes, and much more required to excel in this field. This Data Science course in Hyderabad also presents detailed knowledge of advanced concepts like R calculations, market basket analytics in retail, how to develop e-commerce and movie recommendation engines, and more. We also help you gain practical hands-on experience with real-time projects to strengthen your skills, which in turn helps you to get through the Data Science Certification easily.

Why Should you learn Data Science Course ?

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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 Course videos built by industry experts.
  • Learn end to end course content that is similar to instructor led virtual/classroom training.
  • Explore sample Data Science Course 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 Course Online training session that you attend through GotoMeeting.
  • Gain guidance on certification.
  • Attend a Free Demo before signing up.

Next Demo Sessions

08 Jul, 2020 (Weekday)
11 Jul, 2020 (Weekend)
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Corporate Training
For Business
  • Self-Paced/Live Online/Classroom modes of training available.
  • Engage in Data Science Course 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

To provide students with the right skillset Mindmajix has specially designed this Data Science course content with certified experts to meet modern industry needs. It includes all the fundamentals of data science from basic to advanced with the best practices. Our Data Science course Syllabus is also in line with the certification syllabus which makes your certification preparation far easier. Go through the below course modules to get a clear understanding of Data Science.

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 test your knowledge on Data Science Course, 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 Course 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:

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 Training Objectives

This Data Science Certification course In Hyderabad has been designed to make you expert in all fundamental concepts of Data Science. Besides training, you will also be working with real-time projects to gain hands-on expertise, and also our expert trainers provide you with the real-time assistance of attending interviews and techniques to qualify the certifications.

In this Data Science course hyderabad, you will learn the following concepts: 

 

  • Data analysis, project life cycle, and role of Data Science in this data-driven world
  • project deployment,  experimentation, and techniques of evaluation.
  • Integration of Hadoop with the R 
  • process to install Impala
  • Analysis segmentation using techniques of clustering, and prediction. 
  • Introduction to responsibilities and tasks handled by data scientist
  • Machine learning algorithms
  • R Programming  and other concepts in R
  • Analytics, Association rules, recommendation engines, and Data Science projects.

Below mentioned professionals can enhance their skill set by taking up this Data Science course in Hyderabad. 

  • Business intelligence professionals
  • Big data Experts
  • Predictive analyst Experts 
  • Big data Statisticians 
  • Predictive analyst Experts
  • Machine learning Professionals 
  • Candidates who wish to build their career in Data Science.

If you are about to start your career in Data Science or already working in Data Science field then congratulations you have chosen the right path where opportunities are limitless. Increased demand for data processing has laid roots for the huge demand for Data Science professionals. This surge is constantly growing over the years.  Companies are leveraging the benefits of data to accelerate their business growth. To handle the data and analytics process companies are looking for certified data scientists and offering huge packages.

No, as such there are no special requirements to attend this Data Science online course. All you need to have is a willingness to learn. If you are good at maths then learning Data Science becomes a bit easier for you.

Hyderabad is becoming home for world-class companies with excellent infrastructure facilities. Hyderabad is an IT hub with thousands of companies ranging from large scale to small scale. All these things have contributed to the availability of more opportunities in Hyderabad compared to other cities.

Once you enrol into Mindmajix Data Science training in Hyderabad, we are not only committed to providing you with the best Data Science training but also make you ready for cracking Data Science interviews by conducting mock interviews. Moreover, our specialized teams will also help you with the resume preparation process.

Data Science Online Course - Upcoming Events in Hyderabad

  • Weekday

    08 Jul, 2020 - 07 Aug, 2020

    08:30 PM EST
  • Weekend

    11 Jul, 2020 - 10 Aug, 2020

    08:30 AM EST
  • Weekday

    13 Jul, 2020 - 12 Aug, 2020

    08:30 PM EST
  • Fast Track

    15 Jul, 2020 - 14 Aug, 2020

    08:30 PM EST
  • Weekend

    18 Jul, 2020 - 17 Aug, 2020

    08:30 AM EST
  • Fast Track

    22 Jul, 2020 - 21 Aug, 2020

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

    We can set up a batch at your convinient time.

    Let us know

    Data Science Certification Details

    To set yourself apart from the crowd you should complete Data Science certification. Qualifying the  Data Science certification demonstrates that you have acquired a high skill set to solve Data Science complex problems.  Companies are preferring to hire certified data scientists with high paychecks. Our Certified professionals clear your confusion on the certifications process and provide you with all the knowledge required to pass the certification.  

    Besides the assistance, you will also be awarded the course completion certificate from Mindmajix on successful completion of Data Science course. This certificate adds value to your resume and is recognized by top companies.

    Trusted By Companies Worldwide & 4,10,350+ Learners

    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.

    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.

    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.

    Data Science Training Reviews

    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 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.

    Bangalore