Data Science Bootcamp & Certification Course

“Data scientists are kind of like the new Renaissance folks, because data science is inherently multidisciplinary.”

- John Foreman, Vice President of Product Management at MailChimp

Course Features

  • Online / Instructor Led training
  • Placement Assistance
  • Free study materials
  • Full lifetime access
  • Assignments
  • Certificate of Completion
 
     

Tools Covered

  • Data Analysis tools: R Studio, Python
  • Data warehousing tools: MySQL, Hive
  • Machine learning tools

Career Jobs

Data scientist, Data architect, Data analyst

Average Pay for Entry level

$87,000-$100,000 per year  

Data Science Bootcamp & Certification Course

Training Providers

BEST DATA SCIENCE BOOTCAMP & CERTIFICATION COURSE - PLACEMENT ASSURANCE

In this Data Science Bootcamp and certification course, the students will get a chance to learn right from the beginner to intermediate levels of Data Science with R, Python, Spark and Hadoop. These are widely used in industry tools such as Selenium, Caret, Tensorflow, MongoDB and AWS.Students will get a chance to complete many projects that will be demonstrating good industry experience as well as..

DATA SCIENCE BOOTCAMP & CERTIFICATION COURSE WITH FREE COURSE MATERIALS AT LOW PRICE

Join us now for our Data Science certification training with free course materials too at low prices.You are sure to get assured placement at the end of the course and all along the way the students will get assistance in preparing for job search too with resume reviewing, interview preparation and opportunities to interview with the hiring partners.Upon successful completion of the curriculum you..

100% PLACEMENT ASSURANCE LEARN DATA SCIENCE

Data Science is one of the most rewarding career that allows you to solve some of the worlds most interesting problems This Data Science online training is designed for both beginners with some programming experience or experienced developers who are looking to make the jump to Data Science This comprehensive course is generally compared to other Data Science bootcamps that usually cost thousands of..

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Upcoming Batches

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Pre-requisites

Probability and statistics background preferred. Knowledge in python and R programming. In depth knowledge about data analytics tools.

About Course

Data science is one of the hottest fields in tech today and it is an interdisciplinary field about scientific methods, processes, and systems which are helping to extract insights, knowledge from the data in various forms which may be structured or unstructured also like data mining. You ought to get into the field now and you can learn how to get new insights from big data by asking the right questions and manipulate huge data sets.

We have a plethora of trainers who are enrolled on Benchfolks to provide you a complete Data Science boot camp specialization training course that will be providing you a detailed understanding of data science, data analytics, data acquisition, analysis, project life cycle, statistical methods and machine learning. You will be gaining very much hands-on expertise to deploy the recommendations using R, Apache Mahout, data analysis, data transformation, evaluation as well as experimentation. You will be gaining an unbeatable skill set by learning data science bootcamp course with the help of leading analytical tools.

Data Science Training course contents

You will begin the Data Science Bootcamp Training online course with an Introduction to Data Science and the various statistical and analytical methods, importance, transforming the data, Data Science Project Life Cycle, introduction to the various BI and analytical tools, R Programming, predictive modelling, machine learning, Data conversion, terms of statistics, plots, sets and the rules of probability and Bayes Theorem, Probability Distributions, sampling, tables and analysis, acquiring data, machine learning in data science, data transformation and Apache mahout intro, data testing and assessment, data models, algorithms and prediction, data segmentation and analysis, integration of R and Hadoop and a data science project, complete mastery of all the concepts and Data Science Bootcamp Project discussion and a case study.

Now coming to who all can take this Data Science Bootcamp Course are big data specialist, business analysts, for business intelligence professionals and for statisticians who are looking to improve their statistics skills, for developers who are wanting to learn machine learning technologies and for those who want to take up a role as a data scientist and as a machine learning expert. There are no prerequisites for taking up the course and if you just love mathematics it will be helpful. Get certification at the end of the course. Find placement opportunities from some of the trainers enrolled.

Taking up the Data Scientist Certification Course is quite helpful as there is a serious shortage of Data Scientists and this is a major concern for Top firms around the US and there are many who are ready to pay top salaries for the right skill set and the course will equip you with the same and master the technology. You can easily take your career upwards and to the next level once you complete the course and a data scientist job is one of the best jobs in the present market and US alone has a huge shortage of Big Data Analysts in the future.

Curriculum for this Course

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  • Introduction to Azure ML Studio
  • Fundamentals of Data Mining
  • Introduction to R Programming
  • Introduction to Amazon Machine Learning
  • Data Exploration, Visualization, and Feature Engineering
  • Hands-On Labs: Data Exploration, Visualization, and Feature Engineering
  • Machine Learning Fundamentals
  • Introduction to Predictive Modeling
  • Decision Tree Learning
  • Logistic Regression
  • Naïve Bayes
  • Hands-On Lab: Building a Classifier
  • Linear Regression
  • Regularized Regression Models
  • Hands-On Lab: Building a Regression Model
  • K-Means Clustering
  • Hands-On Lab: Using K-Means Clustering Recommender Systems
  • Text Analytics
  • Content-Based and Collaborative Filtering
  • Evaluation of Recommendation Systems. DCG, nDCG
  • Hands-On Lab
  • Bootstrapping, Bagging, and Boosting
  • AdaBoost
  • Random Forests
  • Hands-On Lab: Building a Random Forest Classifier Operationalizing Machine Learning Models
  • Metrics and Methods for Evaluating Classification and Regression Models
  • Tuning Machine Learning Algorithm Parameters
  • Hands-On Lab: Building a Classification Model in Azure ML Studio
  • Hands-On Lab: Deploying a Predictive Model as a Service Data Science Using Amazon Machine Learning
  • Hands-On Lab: Loading and Visualizing Data
  • Hands-On Lab: Building and Evaluating a Predictive Model
  • Hands-On Lab: Deploying a Real-Time Prediction Endpoint
  • Introduction to Large-Scale Online Systems
  • Hive Tutorial
  • Hands-On Labs: Creating a Hadoop Cluster and Writing Hive Queries
  • Message Queues and Real-time Analytics
  • Hands-On Lab: Creating a Streaming Analytics Pipeline
  • Hands-On Lab: Setting Up Relational Databases in the Cloud
  • NoSQL Databases and HBase
  • Hands-On Lab: Twitter and HBase
  • Introduction to Online Experimentation and A/B Testing

Jobs and Placements

Get ready for the corporate world. Take up training from the listed training companies here, and they will ensure offer you placement assistance at the end of the course. Advance your career and become an IT professional now. Enroll as a Data scientist, Data architect, Data analyst in top companies.

Sample Interview Q&A

1.What is Data Science?
Data Science is a blend of Statistics, technical skills and business vision which is used to analyze the available data and predict the future trend.

2.Which language is more suitable for text analytics? R or Python?
Since Python consists of a rich library called Pandas which allows the analysts to use high-level data analysis tools as well as data structures, while R lacks this feature. Hence Python will more suitable for text analytics.

3.What do you understand by Linear Regression in R?
Basically, it is a type of statistical technique.
In this score of a variable Y is predicted from the score of a second variable X.
Where X is the predictor variable and also Y is known as the criterion variable.

4.What is Selection Bias?
Selection bias is the bias introduced by the selection of individuals, groups or data for analysis in such a way that proper randomization is not achieved, thereby ensuring that the sample obtained is not representative of the population intended to be analyzed.

5.What is Cluster Sampling?
Cluster sampling is a technique used when it becomes difficult to study the target population spread across a wide area and simple random sampling cannot be applied

FAQ

The training will be a combination of theoretical and practical on each topic. The trainers will be providing live exposure on projects and give assignments to test your skill sets.

Yes, the trainer will provide you support for any clarification you need in a job.

We have 2 modes of training. Classroom Training & Online training.

All of our online courses are live instructor-led online courses. You will have the ability to interact directly with the trainer and the training is one on one too through an easy-to-use web conferencing tool like GoToMeeting etc.

The course is non-transferable to anyone else other than the person whose details are given while enrolling once the student has started

Yes, you will receive student guides from the trainers.

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