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Course Details

  • Course Overview
  • Skills Gained
  • Who can Benefit?
  • Prerequisites
  • Syllabus

Cloudera University’s four-day data analyst course is for anyone who wants to access, manipulate, transform, and analyze massive data sets in the Hadoop cluster using SQL and familiar scripting languages. This is the core curriculum in the data analyst learning path. Take your knowledge to the next level with Cloudera’s Apache Hadoop Training Cloudera University’s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Cloudera presents the tools data professionals need to access, manipulate, transform, and analyze complex data sets using SQL and familiar scripting languages.

Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as:

  • How to identify potential business use cases where data science can provide impactful results
  • How to obtain, clean and combine disparate data sources to create a coherent picture for analysis
  • What statistical methods to leverage for data exploration that will provide critical insight into your data
  • Where and when to leverage Hadoop streaming and Apache Spark for data science pipelines
  • What machine learning technique to use for a particular data science project
  • How to implement and manage recommenders using Spark’s MLlib, and how to set up and evaluate data experiments
  • What are the pitfalls of deploying new analytics projects to production, at scale.

This course is best suited to developers, data analysts, and statisticians with basic knowledge of Apache Hadoop: HDFS, MapReduce, Hadoop Streaming, and Apache Hive. 

Students should have proficiency in a scripting language; Python is strongly preferred, but familiarity with Perl or Ruby is sufficient.

Course Outline: Cloudera Introduction to Data Science

Introduction

• About This Course

• About Cloudera

• Course Logistics

• Introductions

Data Science Overview

• What Is Data Science?

• The Growing Need for Data Science

• The Role of a Data Scientist

Use Cases

• Finance

• Retail

• Advertising

• Defense and Intelligence

• Telecommunications and Utilities

• Healthcare and Pharmaceuticals

Project Lifecycle

• Steps in the Project Lifecycle

• Lab Scenario Explanation

Data Acquisition

• Where to Source Data

• Acquisition Techniques

Evaluating Input Data

• Data Formats

• Data Quantity

• Data Quality

Data Transformation

• File Format Conversion

• Joining Data Sets

• Anonymization

Data Analysis and Statistical Methods

• Relationship Between Statistics and Probability

• Descriptive Statistics

• Inferential Statistics

• Vectors and Matrices

Fundamentals of Machine Learning

• Overview

• The Three C’s of Machine Learning

• Importance of Data and Algorithms

• Spotlight: Naive Bayes Classifiers

Recommender Overview

• What is a Recommender System?

• Types of Collaborative Filtering

• Limitations of Recommender Systems

• Fundamental Concepts

Introduction to Apache Spark and MLlib

• What is Apache Spark?

• Comparison to MapReduce

• Fundamentals of Apache Spark

• Spark’s MLlib Package

Implementing Recommenders with MLlib

• Overview of ALS Method for

Latent Factor Recommenders

• Hyperparameters for ALS Recommenders

• Building a Recommender in MLlib

• Tuning Hyperparameters

• Weighting

Experimentation and Evaluation

• Designing Effective Experiments

• Conducting an Effective Experiment

• User Interfaces for Recommenders

Production Deployment and Beyond

• Deploying to Production

• Tips and Techniques for Working at Scale

• Summarizing and Visualizing Results

• Considerations for Improvement

• Next Steps for Recommenders

Conclusion

Audience

  • Developer
  • Data Analyst

Public Program Schedule

Course Name Duration Brochure Location Schedule Enroll
There is no upcoming Public Batch Schedule, you can ask for Private Batch or for On-Demand Learning

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FAQ

  • Why should I choose RPS?
  • I am working, is it possible to arrange the classes on weekends?
  • Please confirm if your office is open on weekends?
  • Can I get the courseware in advance before start of training?
  • What are the timings (class hours)?
  • How can I make the payment?
  • What is the mode of payment?
  • Candidate authorized RPS to charge $200. But the bank has charged $208. Why is this?
  • If we need training on one of the modules only how does that work?
  • How long before do we need to book the exams?
  • Where are your training centers available?
  • Can I pay the fee in installments?
  • What are the refund policies? Can i get my money back in case i am unable to attend the training?
  • Do you provide a bank loan facility?
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Yes, we do offer weekend classes for professionals in group or 1-to-1 Training depending upon the technology.

The administrative and sales staff works on weekdays (Monday - Friday). System Admins and Operation team are available on all days.

Yes, after you have paid the booking amount (which will be non–refundable in this case). Booking amount depends on the technology selected.

Training timings are from 9 am to 5 pm.

You can send the deposit by any of the following methods:-

  • PayPal
  • Credit Card
  • Bank Transfer
  • Demand Draft
  • Cash
  • Purchase Order (in case of Corporates / Government).
  • If you are an International student, the registration amount of USD 200 can be paid by Bank Transfer or PayPal/PayUMoney . The balance amount has to be paid by traveler's cheque or cash after arrival in India. You can also pay the balance by PayPal. There is a surcharge of 4% in this case.
  • For Indian Resident students, the course fees including registration can be paid by Cash, Cheque, Demand Draft or Bank transfer.To Know more Please call +919883305050 or Email us at info@rpsconsulting.in for any of your queries.

Overseas credit card payments through PayPal involve a mark-up of up to 4% as surcharge.

We can provide customized 1-to-1 training for a technology as per your requirement.

Most exams can be booked once you are on the course (e.g. Microsoft, ITIL, VEEAM, EC-Council). Red Hat and some other exams have to be booked in advance.

Our training centers are available in Bangalore, Chennai, Hyderabad, Pune and Delhi.

We do not have facility to pay in installments

If the course fee has been paid for and RPS cancels the Course, a refund will be provided, else the courses are non-refundable.

We do not provide loan facility.

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