Achieve Mastery in Data Science and Big Data Analytics with Our Unique V2 Course

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Data Science and Big Data Analytics v2 Course Overview


Data Science and Big Data Analytics v2 is an online course designed to help users learn to leverage data analysis tools to create insights and solve data problems. It covers the fundamentals of data analysis, data visualization, machine learning, and big data analytics. The course is divided into three main parts: the fundamentals, advanced topics, and case studies.
In the fundamentals section, learners will get an introduction to basic data analysis principles and techniques. In this part, students will learn about data type basics, variables, correlations, and regression. The advanced topics section will cover more complex data analytics techniques, from supervised learning to text mining. This section will also provide learners with an introduction to the principles of programming and data engineering.
The case studies section is designed to allow learners to apply their knowledge and hone their data analysis skills. This section will provide students with examples and challenges that they can work on to learn and spice up their data analysis abilities.
Upon completion of the course, learners will have the knowledge and skills they need to apply the concepts of data science and big data analytics in practical applications.

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

Data Science and Big Data Analytics v2
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The 1-on-1 Advantage

Get 1-on-1 session with our expert trainers at a date & time of your convenience.
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Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.
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Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.

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) 2000 + If you accept merging of other students. Per Participant & excluding VAT/GST
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
Data Science and Big Data Analytics v2
Course Prerequisites

This course is suitable for those with a good understanding of the concepts of data and analytics including basic math, statistics and calculus. Prior experience with SQL databases, scripting languages, and programming will be beneficial, but is not a pre-requisite for this course.

Target Audience


The target audience for Data Science and Big Data Analytics v2 training consists primarily of software engineers, data scientists, statisticians, business analysts, economists, and any other professionals interested in leveraging data to maximize the value of their organization
It is also ideal for those interested in enriching their technical skills and staying ahead of the rapidly changing technology trends
This training is ideal for professionals from a variety of fields such as marketing, finance, operations, engineering and many more
Additionally, this course is also suitable for students and individuals who want to gain an in-depth understanding of the data science and big data analytics topics
With the help of the advanced tools, techniques and the end-to-end methodologies, professionals can easily gain the relevant skill sets for successful data science and big data analytics implementations

Learning Objectives of Data Science and Big Data Analytics v2


Data Science and Big Data Analytics v2 Training helps professionals become proficient in a variety of data science techniques such as mining and analytics. By the end of the training, participants should be able to effectively analyse huge datasets, design predictive models, and develop strategies to optimise business operations. Objectives include providing an in-depth understanding of statistical and machine learning tools, tools for visualisation and communication, and artificial intelligence algorithms. Participants will also develop proficiency in Apache Spark, Apache Hadoop, and programming languages required to interact with distributed computing frameworks. Finally, they will gain insight on small-scale data processing and big data components to understand the large-scale distributed computing environment.

FAQ's

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.
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
No, it is not included.
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.
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 Private.
Yes.
Yes, Koenig Solutions is a Dell EMC Learning Partner
You can request a refund if you do not wish to enroll in the course.
Yes, course requiring practical include hands-on labs.
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.
1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
Yes of course. 100% refund if training not upto your satisfaction.
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.
Yes you can request your customer experience manager for the same.
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

Yes of course.
Yes, We are

Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

Others

Says our CEO-
“It is an interesting story and dates back half a century. My father started a manufacturing business in India in the 1960's for import substitute electromechanical components such as microswitches. German and Japanese goods were held in high esteem so he named his company Essen Deinki (Essen is a well known industrial town in Germany and Deinki is Japanese for electric company). His products were very good quality and the fact that they sounded German and Japanese also helped. He did quite well. In 1970s he branched out into electronic products and again looked for a German name. This time he chose Koenig, and Koenig Electronics was born. In 1990s after graduating from college I was looking for a name for my company and Koenig Solutions sounded just right. Initially we had marketed under the brand of Digital Equipment Corporation but DEC went out of business and we switched to the Koenig name. Koenig is difficult to pronounce and marketeers said it is not a good choice for a B2C brand. But it has proven lucky for us.” – Says Rohit Aggarwal (Founder and CEO - Koenig Solutions)
All our trainers are fluent in English . Majority of our customers are from outside India and our trainers speak in a neutral accent which is easily understandable by students from all nationalities. Our money back guarantee also stands for accent of the trainer.
Medical services in India are at par with the world and are a fraction of costs in Europe and USA. A number of our students have scheduled cosmetic, dental and ocular procedures during their stay in India. We can provide advice about this, on request.
Yes, if you send 4 participants, we can offer an exclusive training for them which can be started from Any Date™ suitable for you.