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Data Science Analytics Overview
Data Science Analytics Course Outline
Module 1: Introduction to Data Science
- What is Data Science?
- Types of Data
- Data Science Pipeline
Module 2: Understanding Data Wrangling
- Data Wrangling Workflow
- Data Acquisition
- Five Steps of the Data Collection Process
- Data Enriching
- Data Cleansing
Module 3: Data Analysis
- Data Analysis within Business
- Confirmatory Data Analysis
- Exploratory Data Analysis
- Data Analysis Files
Module 4: Data Mining
- Introduction to Data Mining
- Common Classes of Tasks Under Data Mining
- Regression Analysis
Module 5: Understanding Data Visualisation
- Introduction to Data Visualisation
- Six Principles of Data Visualisation
- Elements of Data Visualisation
- Psychology of Charts
Module 6: Data Manipulation
- Data Manipulation Overview
- Types of Structuring Involved in Data Manipulation
- Intrarecord Structuring
- Interrecord Structuring
Module 7: Working with Large Amounts of Data
- What is Big Data?
- Different Devices and Applications
- Fundamentals of Big Data
- 3 V’s
- Sources of Big Data
- Data Tools
- Structure
- Sampling
- Methods of Sampling
- Chunking Principles
- How Big Should Data Chunks Be?
Who should attend this Data Science Analytics Course?
This Data Science Analytics Course is suitable for a wide range of individuals looking to enhance their skills and knowledge in the field of Data Science and Analytics. This Big Data and Analytics Course can be beneficial for a wide range of professionals, including:
- Data Analysts
- Business Analysts
- Data Scientists
- IT Professionals
- Managers
- Entrepreneurs
- Financial Analysts
Prerequisites of the Data Science Analytics Course
There are no formal prerequisites for this Data Science Analytics Course.
Data Science Analytics Course Overview
Introduction to the Data Science Analytics Course reveals the significance of harnessing the power of Big Data and Analytics. In an era defined by information, businesses and professionals who can derive insights from vast datasets gain a competitive edge, making Big Data Analytics Courses a pivotal field of study.
Proficiency in Big Data Analytics Courses is vital for professionals across various domains, including Business, Finance, Healthcare, and Technology. It empowers them to extract valuable information from vast datasets, enhancing decision-making and driving organisational success. Anyone aspiring to excel in their respective fields should aim to acquire proficiency in this subject.
This intensive 1-day training provides a comprehensive introduction to Big Data and Analytics, equipping delegates with the fundamental skills needed for data analysis. Through practical applications and real-world case studies, participants will gain hands-on experience in data handling, interpretation, and visualisation.
Course Objectives
- To understand the fundamentals of data science and analytics
- To learn data collection, cleaning, and preparation techniques
- To develop proficiency in data visualisation and interpretation
- To gain insights into machine learning and predictive analytics
- To explore the impact of Big Data on business strategies
- To enhance decision-making through data-driven insights
After completing this course, delegates will receive a certification in Big Data Analytics Courses, validating their expertise in data science and analytics. This certification serves as a valuable asset, opening doors to new career opportunities and enhancing professional growth.
What’s included in this Data Science Analytics Course?
- World-Class Training Sessions from Experienced Instructors
- Data Science Analytics 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 Data Science Analytics. 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 Data Science Analytics, 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.
Experience the most sought-after learning style with The Knowledge Academy's Data Science Analytics. 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 Data Science Analytics 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
Streamline large-scale training requirements with The Knowledge Academy’s In-house/Onsite Data Science Analytics 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 Data Science Analytics 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
What our customers are saying
Data Science Analytics FAQs
The Data Science Analytics Course is designed to teach individuals how to extract insights from large datasets using statistical methods, machine learning, and advanced analytical tools. This course covers the entire data lifecycle, including data collection, cleaning, analysis, and visualisation, empowering learners to make data-driven decisions.
This course is ideal for aspiring Data Scientists, Analysts, IT Professionals, and Business Managers who want to leverage data for better decision-making. It's also suitable for anyone looking to develop a strong foundation in Data Analytics and gain hands-on experience with Data Science tools.
The course covers a range of topics, including data manipulation, statistical analysis, machine learning, data visualisation, and tools like Python and R. You will also learn about big data technologies, cloud computing, and data ethics, ensuring you are well-rounded in both technical and ethical aspects.
There are no formal prerequisites for the course, but having a basic understanding of mathematics, statistics, and some programming experience can be helpful.
Both fields are crucial, but Data Science is broader, involving complex algorithms and predictive models, while Data Analytics focuses on interpreting existing data to find actionable insights. Choosing between them depends on your career goals—both offer excellent growth opportunities.
The best course in Data Analytics depends on your learning objectives, but The Knowledge Academy's Data Science Analytics Course stands out for its comprehensive curriculum, industry-relevant case studies, and practical exercises that prepare you for real-world challenges.
It takes around 3-6 months to grasp the fundamentals of Data Science, depending on your prior knowledge and dedication. However, continuous learning and practice are key to mastering the field as Data Science is constantly evolving.
Online Data Science Analytics Courses offer flexibility, allowing you to learn at your own pace from the comfort of your home. You will also have access to a variety of learning resources, expert instructors, and interactive sessions, making it easier to balance your studies with other commitments.
To excel in Data Science Analytics, you will need skills in programming (Python, R), statistics, machine learning, data visualisation, and working with big data tools like Hadoop or Spark. Problem-solving and analytical thinking are also essential.
Basic coding knowledge, particularly in Python or R, is beneficial for performing data manipulation and analysis. However, The Knowledge Academy's Data Science Analytics Course provides guidance on coding, so even beginners can comfortably learn the required skills.
The course includes hands-on exercises, theoretical lessons, case studies, and access to Data Analytics tools. You'll also get access to expert-led sessions, assessments, and downloadable resources to enhance your learning experience.
The duration of this Data Science Analytics Course is 1 day.
Yes, The Knowledge Academy offers ongoing support, including access to webinars, tutorials, and additional learning materials even after you complete the course. You’ll also become part of an active community where you can engage with other learners and industry professionals.
You will learn how to work with large datasets, perform statistical analysis, create data visualisations, and develop machine learning models. Additionally, you'll gain expertise in data tools such as Python, R, and SQL, which are essential for any Data Science role.
After completing the course, you can further your skills by pursuing advanced certifications in specialised areas like machine learning or big data. Additionally, you can start applying your knowledge in real-world projects or seek opportunities in Data Science or analytics roles.
This training will equip you with the knowledge and practical skills needed to excel in the fast-growing field of Data Science. It will open doors to roles such as data scientist, data analyst, and business intelligence specialist, boosting your career prospects significantly.
Yes, you will have access to the course materials, allowing you to revisit lessons, tutorials, and practical exercises whenever you need to reinforce your knowledge.
Upon completing the course, you will receive a certification from The Knowledge Academy, which will validate your skills in Data Science Analytics and enhance your professional credentials.
Attending the course is simple! You can visit The Knowledge Academy’s website, select the Data Science Analytics Course, and follow the registration process. Alternatively, you can contact our support team for assistance.
After completing the course, you can pursue various roles such as data analyst, data scientist, business analyst, and machine learning engineer. The demand for data professionals is growing, and you will be well-prepared to enter this exciting field.
The Knowledge Academy stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition.
The training fees for Data Science Analyticsin Sri Lanka starts from $2495
The Knowledge Academy is the Leading global training provider for Data Science Analytics.
Please see our Big Data and Analytics Training courses available in Sri Lanka
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
Data Science Analytics in Sri Lanka
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