Big Data Analytics & Data Science Integration Training Course in Stuttgart

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Big Data Analytics & Data Science Integration Course

Stuttgart

Gain in-depth knowledge of Big Data Analytics.
Understand the Term Frequency – Inverse Document Frequency (TFIDF).
Learn the various advanced analytical theory and methods.

Dates & Prices Dates & Prices

Course information

Big Data Analytics & Data Science Integration Course Outline

Module 1: Big Data Analytics

Big Data Analytics
Bigdata
State of Practice in Analytics
Main Roles for New Big Data Ecosystem

Module 2: Data Analytics Lifecycle

Phases of Data Analytics Lifecycle
- Discovery
- Data Preparation
- Model Planning
- Model Building
- Communicate Results
- Operationalise

Module 3: Basic Data Analytic Methods Using R

R Programming Language
Evolution of R
Features of R
R Programming Language
Exploratory Data Analysis
Confirmatory Data Analysis
Statistical Methods for Evaluation
Regression
Classification

Module 4: Introduction to Clustering

Applications of Clustering
- Marketing
- Retail
- Medical Science
- Sociology

Module 5: Association Rules

Introduction
Apriori Algorithm
Applications of Association Rules
Validation and Testing

Module 6: Regression

Regression Analysis
Linear Regression
Logistic Regression

Module 7: Classification

Decision Tree
Decision Tree Example
Naïve Bayes

Module 8: Time Series Analysis

Introduction
Syntax

Module 9: Text Analysis

Introduction
Term Frequency – Inverse Document Frequency

Module 10: MapReduce and Hadoop

Big Data: Types of Big Data
Hadoop
Hadoop Architecture
NoSQL

Module 11: In-Database Analytics

In-Database Analytics
SQL Essentials
Advanced SQL

Who should attend this Big Data Analytics & Data Science Integration Course?

The Big Data Analytics & Data Science Integration Course is designed to integrate the principles of Data Science with the tools and technologies needed to deal with Big Data. This course can benefit a wide range of professionals, including:

Data Scientists
Data Analysts
Software Engineers
Managers
IT Professionals
Entrepreneurs
Business Analysts

Prerequisites of the Big Data Analytics & Data Science Integration Course

There are no formal prerequisites for this Big Data Analytics & Data Science Integration Course.

Big Data Analytics & Data Science Integration Course Overview

The Big Data Analytics & Data Science Integration Course is designed to explore the synergy between big data analytics and data science methodologies, providing a comprehensive understanding of their integration. Participants will delve into the core concepts, tools, and techniques essential for extracting meaningful insights from vast datasets.

Proficiency in big data analytics and data science is paramount for professionals aiming to drive data-driven decision-making within their organisations. Data scientists, analysts, IT professionals, and business strategists should aspire to master this domain. This course is tailored for individuals seeking to elevate their skills in the realm of data analysis and interpretation.

This intensive 1-day training offers delegates a unique opportunity to bridge the gap between big data analytics and data science. Through hands-on workshops, real-world case studies, and interactive sessions, participants will acquire practical skills in data preprocessing, predictive modelling, and data visualisation. By the end of the training, delegates will be proficient in leveraging cutting-edge tools and frameworks, empowering them to extract actionable insights from complex datasets.

Course Objectives:

To understand the fundamentals of big data analytics and data science integration
To master data preprocessing techniques, including data cleaning and transformation
To explore advanced predictive modelling algorithms for accurate data analysis
To learn to extract insights from unstructured data using natural language processing
To understand the ethical considerations and challenges in big data analytics

Upon completing the Big Data Analytics & Data Science Integration Course, delegates will gain a comprehensive understanding of the synergy between data analytics and data science, allowing them to effectively bridge the gap between these two disciplines. This knowledge will empower them to tackle complex data-related challenges, make data-driven decisions, and excel in their roles in the ever-evolving field of data analysis and science.

What’s included in this Big Data Analytics & Data Science Integration Course?

World-Class Training Sessions from Experienced Instructors
Big Data Analytics & Data Science Integration Certificate
Digital Delegate Pack

Why choose us

Our Stuttgart venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Stuttgart is the largest and capital city of the German state of Baden-Württemberg. It is located in the Southwest of Germany and is the sixth largest city in the country. It has a population of approximately over 600,000 people; when combined with the Stuttgart Metropolitan Region, the population number increases to about 5.3 citizens. Education in Stuttgart is governed by the German state and education is compulsory for children up to the age 18. The educational system in Stuttgart is divided into four levels: Kindergarten Education, Elementary Education, Secondary Education, and Higher Education (tertiary education).

Stuttgart is not considered a traditional university city but provides a variety of Higher Education institutes including: University of Stuttgart founded in 1829 and is the fourth biggest university in Baden-Württemberg. University of Hohenheim which was established in 1818 and specialises in Agricultural Science and Forestry. The State Academy of Visual Arts Stuttgart was founded in 1961 and is the biggest art colleges across Germany.

The city is known for its German thought and literature figures including Georg Wilhelm Friedrich Hegel, Friedrich Schiller and Friedrich Hölderlin. Stuttgart is home to six of Germany's second-highest number of institutions of applied research of the Fraunhofer Society.

Address

Offisto GmbH
Steiermärker Str. 3-5
70469
Stuttgart-Feuerbach
Germany

T: +49 8000101090

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Big Data Analytics & Data Science Integration Training Course in Stuttgart. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Learn more in our FAQs

Unlock your potential with The Knowledge Academy's Big Data Analytics & Data Science Integration Training Course in Stuttgart, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Learn more in our FAQs

Experience the most sought-after learning style with The Knowledge Academy's Big Data Analytics & Data Science Integration Training Course in Stuttgart. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Big Data Analytics & Data Science Integration Training Course in Stuttgart sessions.

Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Learn more in our FAQs

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

Learn more in our FAQs

What our customers are saying

Big Data Analytics & Data Science Integration Training Course in Stuttgart FAQs

What does this Big Data Analytics & Data Science Integration Course entail?

This course focuses on integrating Big Data Analytics and Data Science methodologies to derive insights from large datasets. It covers data processing, analysis, machine learning techniques, and data visualisation, using real-world scenarios to apply data science within a big data environment.

Who should attend this course?

The Big Data Analytics & Data Science Integration Certification Course is ideal for Data Scientists, Data Analysts, IT Professionals, Engineers, Software Developers, Business Analysts, and professionals interested in improving their skills in Big Data Analytics and Data Science.

What topics are covered in the Big Data Analytics & Data Science Integration Course?

Topics include Big Data Architecture, Data Processing techniques, Machine Learning algorithms, Data Mining, Data Visualisation, Statistical Analysis, Predictive Modeling, and the integration of big data tools with data science practices.

What are the prerequisites for taking this course?

There are no mandatory prerequisites for taking this Big Data Analytics & Data Science Integration Course. However, basic knowledge of programming (Python or R), statistics, and data analytics is recommended.

Is it worth taking this Data Analytics Course?

Yes, Data Analytics skills are in high demand across various industries. Completing this Data Analytics Course equips you with the expertise to analyse large datasets, make data-driven decisions, and enhance your career prospects in fields like IT, finance, healthcare, and marketing.

Does Big Data Analytics involve coding?

Yes, Big Data Analytics involves coding. Common languages used include Python, R, and SQL, as well as working with big data platforms like Hadoop or Spark to process and analyse large datasets.

Is Python required for Big Data Analytics?

While Python is not mandatory, it is highly recommended for Big Data Analytics due to its extensive libraries for data manipulation, machine learning, and data visualisation. Python is widely used in both big data and data science projects.

What skills do you need for a Data Analyst?

A Data Analyst needs strong analytical skills, proficiency in programming (Python, R, or SQL), knowledge of statistical techniques, data visualisation skills, familiarity with data processing tools, and the ability to interpret and present data insights effectively.

How is the course delivered?

The Knowledge Academy provides flexible learning options, including Online Instructor-led, Online Self-paced, Classroom, and Onsite training. These options allow you to take this Big Data Analytics & Data Science Integration Course at your preferred pace, time, and location.

What materials and resources are provided during the course?

Course materials for this Big Data Analytics & Data Science Integration Course include lecture notes, access to big data and data science tools, datasets for hands-on practice, project guidelines, and supplementary reading materials.

What is included in the course?

This Big Data Analytics & Data Science Integration Course comes with a 2-day training session from experienced trainers, a digital delegate pack, and a certificate upon completion of the course.

What is the duration of this course?

This Big Data Analytics & Data Science Integration Course spans across 2 days. For self-paced courses, the duration may vary based on the learner's schedule, allowing flexibility to complete the training at their own pace.

Are there any ongoing support or resources available after completing the course?

Yes. The Knowledge Academy offers 24/7 support for delegates before, during, and after this Big Data Analytics & Data Science Integration Training. Should you encounter any difficulties accessing the course materials, our customer support team is available to assist and promptly resolve any issues you may encounter.

What tools and software will be used in the training?

Common tools include Hadoop, Spark, Python (with libraries like Pandas, NumPy, and Scikit-learn), R, SQL, Tableau, and other big data processing and data visualisation tools.

What are my next steps after completing the Big Data Analytics & Data Science Integration Course?

After completing the Big Data Analytics & Data Science Integration Training, you can apply your skills in real-world projects, pursue certifications in specific big data tools or data science methods, or seek job opportunities in data science, analytics, or machine learning.

Can I access the course materials after the training period ends?

Yes, delegates will have access to Big Data Analytics & Data Science Integration course materials for 90 days after course completion, allowing them to review content, continue practicing, and refer back to resources as needed.

What kind of certification will I receive upon completion of the course?

You will receive a Certificate of completion that validates your expertise in Big Data Analytics and Data Science integration. This certification can be added to your resume or LinkedIn profile to enhance your professional credentials.

How can I register for the course?

To register for this course, please visit The Knowledge Academy’s Big Data Analytics & Data Science Integration Training course page, select your preferred dates from the Dates and Prices section, make the payment and avail the course materials.

What kind of job opportunities can I expect after completing this course?

After completing the training, delegates can pursue roles such as Data Analyst, Data Scientist, Big Data Engineer, Machine Learning Engineer, Business Intelligence Analyst, or Data Architect. These roles are in high demand across industries like technology, finance, healthcare, and marketing.

Why should I choose The Knowledge Academy over others?

The Knowledge Academy offers globally recognised courses, expert trainers, flexible learning formats (online, in-person, and self-paced), and 24/7 support. This Big Data Analytics & Data Science Integration Training provides a comprehensive learning experience, preparing you for the exam and practical application in your career.

What is the cost/training fees for Big Data Analytics & Data Science Integration Course in Stuttgart?

The training fees for Big Data Analytics & Data Science Integration Coursein Stuttgart starts from €2895

Which is the best training institute/provider of Big Data Analytics & Data Science Integration Course in Stuttgart?

The Knowledge Academy is the Leading global training provider for Big Data Analytics & Data Science Integration Course.

What are the best Big Data and Analytics Training courses in Stuttgart?

Please see our Big Data and Analytics Training courses available in Stuttgart

Why choose us

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

Many delivery methods

Flexible delivery methods are available depending on your learning style.

High quality resources

Resources are included for a comprehensive learning experience.

"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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