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Big Data Analytics & Data Science Integration Course Overview
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 2-days 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
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 Course. 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.
Live classes
Join a scheduled class with a live instructor and other delegates.
Interactive
Engage in activities, and communicate with your trainer and peers.
Global Pool of the Best Trainers
We handpick from a global pool of expert trainers for our Online Instructor-led courses.
Expertise
With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.
Global Reach
With classes running in all timezones, access any of our courses and course material from anywhere, anytime.
Unlock your potential with The Knowledge Academy's Big Data Analytics & Data Science Integration Course, 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.
What our customers are saying
Big Data Analytics & Data Science Integration Course FAQs
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
The training fees for Big Data Analytics & Data Science Integration Coursein Canada starts from CAD4295
The Knowledge Academy is the Leading global training provider for Big Data Analytics & Data Science Integration Course.
Please see our Big Data and Analytics Training courses available in Canada
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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