Data Science Training

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Data Science Course Details

  • (5.0)
  • 1553 Ratings
  • Duration : 30 Hrs
  • Lab Sessions : 20
  • Certification Pass : Guaranteed
  • Learners : 1578

Mindmajix Data Science training makes you an expert in building the applications by leveraging capabilities of Data transformation using Map Reduce (RMR), Random Forest Classifier, Integrating R with Hadoop using R, Sub-setting data. etc

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Modes of Training

Self Paced

Self Paced Video Learning

Access to High Quality pre-recorded Data Science Training videos (from a previous live training).


Instructor Led Live Training

Live Online training by Certified & industry expert Trainers & On Demand Dedicated Cloud lab and LMS access.


Corporate Training

Self-Paced e-learning and/or instructor-led Live online training options & Learning Management System access.

Data Science Training Batches

Weekend Track
Duration : 15 Weekends Hours: 2hr/day
Regular Track
Duration : 30 Days Hours: 1hr/day
Fast Track
Duration : 15 Days Hours: 2hr/day
Make Me An Expert * 100% Satisfaction guaranteed
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The Course goes with the aim to understand key concepts about the fundamentals of data science, Data acquisition and Machine learning algorithms. In this training course, you gain the knowledge tools and techniques of Experimentation, Evaluation and Project Deployment, Data collection and data mining. You will get an in-depth understanding of the big data concepts and the responsibilities of a data scientist. This course has been designed in such a way that it is very easy for you to acquire and expand your data science skills quickly. So, you can start working in this field once you complete the training successfully.

Data Science is being used by most of the world’s top multinationals. Data Science professionals are earning very high salaries when compared with other technologies.With high demand and a number of job opportunities in this field,  the following people will get benefited from this course

Information Architects
Data analysts
Business analysts
Freshers/Graduates keep to take up the role of a data scientist
BI professionals

An in-depth knowledge on data science project which focuses on all the critical components of data science will be provided by our trainer. As a result, you can increase your visibility and increase your efficiency and draw real connections between different components of data science. You will also get the complete material covering all the aspects of this project.

Introduction to Data Science What makes a Data Scientist?
AI & Machine Learning – An Introduction.
Hands on Python
Basic Statistics with Python+Tensorflow& R 
Measures of Central tendency Measures of Dispersion Skewness and Kurtosis
Linear Algebra Review
Hypothesis, Parametric and Non-Parametric Tests 
Sample and Population Formulate the Hypothesis Select an Appropriate Test Choose level of Significance Calculate Test Statistics

Hands onwith Python+Tensorflow.
Events and their Probabilities Rules of Probability Conditional Probability and Independence Distribution of a Random Variable

Model & Cost function, Linear Regression with One Variable
Solving Linear, Logistic regression using Maximum Likelihood Estimation and Linear Regression

Linear Regression with Multiple Variables
Logistic Regression with Multivariate Logistic Regression
Applications of Logistic Regression, the link to Linear Regression and Machine Learning

Determine the Probability Compare the Probability and Make Decision
One Sample T-Test Two Independent Samples Tests 
Paired T-test,Proportional Test 
Non-Parametric One Sample Test 
Chi Square,Test Z Test,F Test

Understanding Decision tree 
Decision Tree terminology 

Hands on Python

Building decision Tree 
Decision tree evaluation

k-Nearest Neighbors and Generalization.
K Nearest Neighbours Algorithm for Classification with case study
Lazy Learning Notion 
Computation of Distance Matrix 
The Optimum K values .
Data Transformations as a Pre-Processing Phase
Model Building on Training Data Set 
Model Validation on Testing Data Set Evaluation of Model Advantages & Disadvantages of KNN Models

Hands on with Python+Tensorflow.

Linear Classifiers: Support Vector Machines
Multi-Class Classification
Kernelized Support Vector Machines

Optimization in Python
Kernels Introduction
Visualization and dimensionality reduction
Principal Component Analysis (PCA)
Kernel PCA
Locally-Linear Embedding (LLE)
t-distributed Stochastic Neighbor Embedding (t-SNE)
Association rule learning,Apriori,Eclat

Building an ANN,
Evaluating the ANN,
Improving the ANN
Tuning the ANN
Activation functions used in ANNs.

Mindmajix offers advanced Data Science  interview questions and answers along with Data Science resume samples. Take a free sample practice test before appearing in the certification to improve your chances of scoring high.

The aim of the project module is to let you have an idea of what a project is, problem statement, various approaches and solving algorithms.

Project Discussion
Problem Statement and Analysis
Various approaches to solve a Data Science Problem
Pros and Cons of different approaches and algorithms

Data Science is a process of extracting knowledge from data. Data science is emerging to meet the challenges of processing large data sets which require versatile skill set and specialized in specific domain. Data scientist analyse the complex problems and ensures rich consistency of data sets by creating visualizations to aid in understanding data. Data science training is designed to teach the techniques of data mining and gain knowledge on the insight of visualization and optimization of data to become a successful Data Scientist.

Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Mindmajix verifies their technical background and expertise.

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.

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 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

The Training itself is Real-time Project Oriented.

There are some Group discounts available if the participants are more than 2.

As we are one of the leading providers of Live Instructor LED training, We have customers from USA, UK, Canada, Australia, UAE, Qatar, NZ, Singapore, Malaysia, India and other parts of the world. We are located in USA. Offering Online Training in Cities like

New York, New jersey, Dallas, Seattle, Baltimore, Houston, Minneapolis, Los Angeles, San Francisco, San Jose, San Diego, Washington DC, Chicago, Philadelphia, St. Louis, Edison, Jacksonville, Towson, Salt Lake City, Davidson, Murfreesboro, Atlanta, Alexandria, Sunnyvale, Santa clara, Carlsbad, San Marcos, Franklin, Tacoma, California, Bellevue, Austin, Charlotte, Garland, Raleigh-Cary, Boston, Orlando, Fort Lauderdale, Miami, Gilbert, Tempe, Chandler, Scottsdale, Peoria, Honolulu, Columbus, Raleigh, Nashville, Plano, Toronto, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Hyderabad, Bangalore, Pune, Mumbai, Delhi, Dubbai, Doha, Melbourne, Brisbane, Perth, Wellington, Auckland etc…

The Mindmajix Sellf-Paced Training is for candidates who enjoy learning at their own pace. Our Self-Paced program is comprised of :

Provision to one-on-one sessions,

24/7 Live Support,

Time-to-time doubt clearance,

All these features come as a benefit for the trainees attempting the training.

Yes. You as a learner enjoy the fullest benefits of converting from Self-Paced training to Instructor-Led training at any point of time during the course. 

At Mindmajix, we avail Self-Paced Training and Online Instructor-Led Training provided by Industry experienced professionals. Along with them, we specialize in Corporate Training, particularly designed for business organizations. Our elaborately designed Demo Sessions make your vision clear for the subject and motivate you to opt the newer technologies in the industry.

The certifications for data science are provided by reputed organizations like SASUCI, Cloudera, Coursera, Harvard Extension School, Microsoft and Columbia University. For passing these certification exams, an in-depth understanding of all the data science concepts is recommended. The learning path and the project Mindmajix comes up with will be exactly in line with the certification programs which enables you to clear data science certification exams with greater ease and secure a job in top multinationals.

MindMajix Data Science Course Completion Certificate

Mindmajix guarantees that the educational experience you gain will deliver value even after you complete the course with its course completion certificate. This will undoubtedly be one of the valuable certifications for your career path and your first step in building a career in this course. You can earn this after successful completion of your project work and can get your CV noticed. It also shows you are motivated to learn and that you have genuine expertise.

Mindmajix Advantages

  • Expert Instructors
  • Practical Implementation
  • Real- time Case Studies
  • Lifetime Access thru LMS
  • Job Readiness
  • Resume Building
1553 Ratings
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  • H

    I recommend MindMajix for learning DataScience Course, As a working professional, it has not only given me an exposure to the domain, but also helped me learn various technologies and develop an inclination towards it.
  • P

    MindMajix is a good institute to gain your software skills, I have done DataScience course which helps you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees and many interesting concepts.