Data Science and Big Data Analytics v2 Course Overview

Enroll for the 5-days, Data Science and Big Data Analytics V2 training and certification course from Koenig solutions accredited by Dell EMC.

This course focuses on the practice of data analytics, the role of the Data Scientist, the main phases of the Data Analytics Lifecycle, analyzing and exploring data with R, statistics for model building and evaluation, the theory and methods of advanced analytics and statistical modeling, the technology and tools that can be used for advanced analytics, operationalizing an analytics project, and data visualization techniques. Successful candidates will achieve the Dell EMC Professional – Data Science Associate certification (Exam Code: DEA-7TT2).

Target Audience

This course is intended for individuals seeking to develop an understanding of Data Science from the perspective of a practicing Data Scientist, including:

  • Managers of teams of business intelligence, analytics, and big data professionals.
  • Business and Data Analysts looking to add big data analytics to their skills.
  • Data and database professionals looking to exploit their analytic skills in a big data environment.
  • Anyone who wants to move into the world of data science and big data.

Learning Objectives

Upon completion of this course, students will be able to:

  • Immediately participate as a data science team member.
  • Work with large data sets and generate insights.
  • Build predictive and classification models.
  • Manage a data analytics project through the entire lifecycle.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

The 1-on-1 Advantage

Methodology

Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option

4-Hour Sessions

You will learn:

Module 1:Big Data, Analytics, and the Data Scientist Role
  • Define and describe the characteristics of Big Data
  • Describe the business drivers for Big Data analytics and data science
  • Describe the Data Scientist role and related skills
  • Describe the data analytics lifecycle purpose and sequence of phases
  • Discovery - Describe details of this phase, including activities and associated roles
  • Data preparation - Describe details of this phase, including activities and associated roles
  • Model planning - Describe details of this phase, including activities and associated roles
  • Model building - Describe details of this phase, including activities and associated roles
  • Explain how basic R commands are used to initially explore and analyze the data
  • Describe the most important statistical measures and effective visualizations of data
  • Describe the theory, process, and analysis of results for hypothesis testing and its use in evaluating a model
  • K-means clustering
  • Association rules
  • Linear regression
  • Logistic Regression
  • Naïve Bayesian classifiers
  • Decision trees
  • Time Series Analysis
  • Text Analytics
  • Describe the technological challenges posed by Big Data
  • Describe the nature and use of MapReduce and Apache Hadoop
  • Describe the Hadoop ecosystem and related product use cases
  • Describe in-database analytics and SQL essentials
  • Describe advanced SQL methods: window functions, ordered aggregates, and MADlib
  • Describe best practices for communicating findings and operationalizing an analytics project
  • Describe best practices for building project presentations for specific audiences
  • Describe best practices for planning and creating effective data visualizations
Live Online Training (Duration : 40 Hours) Fee On Request
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Course Prerequisites

The knowledge and skills that participant must have before attending this course are:

  • A strong quantitative background with a solid understanding of basic statistics
  • Experience with a scripting language, such as Java, Perl, or Python (or R). Many of the lab examples taught in the course use R (with an RStudio GUI), which is an open source statistical tool and programming.
  • Experience with SQL

Request More Information

Add Name and Email Address of participant (If different from you)

FAQ's


The Fee includes:
  • Courseware
Yes, we also offer weekend classes.
Yes, the site is secure by utilizing Secure Sockets Layer (SSL) Technology. SSL technology enables the encryption of sensitive information during online transactions. We use the highest assurance SSL/TLS certificate, which ensures that no unauthorized person can get to your sensitive payment data over the web.
Yes, we do.
No, it is not included.
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1-on-1 you can select your own schedule, other students can be merged but you select the schedule. Choose 1-on-1 if published schedule do not meet your requirement. If you also want a private session, opt for 1-on-1 Public.
Yes.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
Yes, you can pay from the course page and flexi page.
You can request a refund if you do not wish to enroll in the course.
In both, you choose the schedule. In public, other participants can join, Private other participants want to join.
Yes, Koenig Solutions is a Dell EMC Learning Partner
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes. You can access courseware for most vendors.
Yes, this is our official email address which we use if a recipient is not able to receive emails from our @koenig-solutions.com email address.
Yes, course requiring practical include hands-on labs.
To receive an acknowledgment of your online payment, you should have a valid email address. At the point when you enter your name, Visa, and other data, you have the option of entering your email address. Would it be a good idea for you to decide to enter your email address, confirmation of your payment will be emailed to you.
After you submit your payment, you will land on the payment confirmation screen. It contains your payment confirmation message. You will likewise get a confirmation email after your transaction is submitted.
You will receive the digital certificate post training completion via learning enhancement tool after registration.
Yes you can.
Yes, we do. For details go to flexi
You can pay through debit/credit card or bank wire transfer.
Dubai, Goa, Delhi, Bangalore.
Yes you can request your customer experience manager for the same.
Yes of course. 100% refund if training not upto your satisfaction.
We use the best standards in Internet security. Any data retained is not shared with third parties.
We do accept all major credit cards from Visa, Mastercard, American Express, and Discover.
Credit card transactions normally take 48 hours to settle. Approval is given right away; however,it takes 48 hours for the money to be moved.
Yes, we do accept partial payments, you may use one payment method for part of the transaction and another payment method for other parts of the transaction.
Yes, if we have an office in your city.
Yes, we do offer corporate training More details
Yes, we do.
Buy-Now. Pay-Later option is available using credit card in USA and India only.
Yes, fee excludes local taxes.

Prices & Payments

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Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

Others

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