Introduction To Data Science
Instructor-led training in Introduction To Data Science. Delivered live online by senior practitioners, with hands-on labs and a final assessment. Includes an Skilvi course-completion certificate.
Overview
This Introduction to Data Science course provides a foundational understanding of data analysis, machine learning, and statistical concepts. Participants will learn how to leverage data-driven insights to make informed decisions, which is crucial in today’s data-centric world.
What you'll learn
- You will be able to define key concepts in data science and its importance in various industries.
- You will be able to collect and clean data using common data manipulation tools.
- You will be able to visualize data effectively using popular libraries.
- You will be able to apply basic statistical methods to analyze datasets.
- You will be able to implement simple machine learning algorithms.
- You will be able to interpret the results of data analyses and communicate findings.
- You will be able to use Python and/or R for data science tasks.
- You will be able to understand ethical considerations in data science.
Curriculum
7 modules · outline is indicative and can be tailored to your team.
1Introduction to Data Science
- Overview of data science and its applications
- The data science lifecycle
- Key roles and skills in data science
2Data Collection and Cleaning
- Sources of data
- Data cleaning techniques
- Introduction to data wrangling tools
3Data Visualization
- Principles of effective data visualization
- Using libraries like Matplotlib and Seaborn
- Creating interactive visualizations
4Statistics for Data Science
- Descriptive statistics
- Inferential statistics
- Hypothesis testing
5Introduction to Machine Learning
- Types of machine learning
- Supervised vs unsupervised learning
- Basic algorithms: regression and classification
6Interpreting Data Results
- Communicating findings effectively
- Creating reports and presentations
- Understanding bias and ethical considerations
7Hands-On Project
- Applying learned concepts to a real-world dataset
- Building a simple data science project
- Presenting your findings
Prerequisites
No prior experience required.
Who should attend
This course is ideal for beginners interested in data science and analytics.
Certification
Frequently asked questions
What is the delivery format of the course?
The course is instructor-led and delivered live online.
How long is the course?
The course runs for 8 weeks, with one session per week.
Will I receive a certificate upon completion?
Yes, participants will receive an Skilvi course-completion certificate.
Are exam vouchers included?
Exam vouchers are available through authorized channels on request.
Is there a need for prior knowledge in programming?
No prior programming knowledge is required, as the course covers the basics.
What tools will be used during the course?
The course will primarily use Python and/or R for data science tasks.
Pricing on request
- Live online (VILT)
- 16–24 hours
- Hands-on labs & assignments
- Skilvi completion certificate
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