Data Science Introductory Certification Course
- Certification Courses, IT Courses
- 592 (Registered)
Unlock Data Science Career with Free Course
Learn the techniques of making data-driven decisions and launch a career in the most in-demand field.
The Data Science Introductory Certification Course at SkillSchool is the right impetus for your interest in the complex world of data science. It is a comprehensive 10-hour program where you will get acquainted with the basics of data interpretation and analysis and the effective communication of valuable insights generated from data. Join the course free of cost and gain essential skills and a certificate to prove your knowledge and passion.
The course is a great opportunity for beginners to learn extensively about data science, from its basics to the massive career opportunities. The course will help you kickstart your data science journey. Participants can expect to learn what is data science and its inherent importance in today’s meteorically growing technological world. Explore data science lifecycle, time series, statistics, database, etc with experts who have years of industry experience.
Duration: 1 Week (10 Hours Total)
Schedule: Weekdays (5 Days a Week)
Daily Commitment: 2 Hours per Day
Industry-experienced trainers: Experts with years of experience in Data Science as mentors
Industry-Based Curriculum
Delivery Mode: Online, with a combination of video lessons and interactive discussions
Delivery Mode: Online, with a combination of video lessons and interactive discussions
Program Highlights
Course Completion Certificate from Skill School powered by ICASR.
Comprehensive Learning
Cover the basics of data science, data life cycle, statistics and probability, EDA, Python and R Libraries, SQL, etc.
Flexible Learning
Learn at your own pace, with access to resources and guidance from experienced instructors.
Expert Guidance
Learn from qualified Data Science professionals with years of experience in the field.
Certification
Earn a Course Completion Certificate from Skill School, powered by ICASR, to validate your new financial skills.
Program Curriculum
What is Data Science and why Data science?
Pillars and Components of Data Science
Life Cycle of Data
Data Mining Tasks
Time series in Data Science
Introduction to Data Collection
Types of Data and Data Collection Methods
Tools for Data Collection
Ethics and Best Practices of Data Collection
What is Python
Why learn Python
Skills needed to learn Python
NumPy
Pandas
Basics of R
Configuring R
Data Structures in R
Functions in R
Data Manipulation in R
Data Visualization in R
Simple Linear
Multiple Linear
Regression Models and Qualitative Predictors
Introduction to Logistic Regression
Logistic Regression-Part 1
Logistic Regression- Part 2
Clauses
Group By Statement
Having Clause Statement
Alias in SQL
Joins in SQL and Types of Joins in SQL
Introduction to Subquery
What is a Subquery? Types and tasks of Subquery
Understanding Probability
Understanding Statistics
Overview of EDA
Data Analytics
Understanding Time Series
This module explores the various career and job opportunities in data science.
Group Discussion/Interactive Q&A
Emerging issues and trends in the Data Science field, including Machine Learning, Deep Learning, Automation, etc.
Summarize key lessons from the course
Resources for further learning (e.g., websites, books, certifications)
- Key Features
- Requirements
- Target Audiences
10-Hour Online Course
Build essential data science skills and knowledge to kickstart your career and boost your career development.
A Blend of Theory and Practical
Gain valuable insights into the data science field. Equip yourself with the most in-demand tech skills.
Industry curriculum
A curriculum designed in collaboration with industry experts to give you result-oriented training.
Experienced Faculty
Get trained under senior data science professionals known for their industry experience and exceptional knowledge.
- Candidates must pass Intermediate/ 10+2/ 12th Grade (High School) from a recognised board.
- Candidates must have Good academic record.
- Candidates must have some basic knowledge about computer skills.
- Familiarity with programming languages and Knowledge of fundamental mathematics.
- Age Limit: Candidates must have attained the minimum age of 18 years to be eligible.
This course is open to:
- Intermediate/ 10+2/ 12th Grade (High School) Pass Students
- Candidates looking for career opportunities in Tech fields with a specialization in Data Science.
- Data Enthusiasts. Software professionals, engineering students, etc.
Become a Certified Banking Professional
Program Outcomes
Learn Statistical Analysis, EDA, Database, Python and R Libraries, Data processing, etc.
- Get noticed and embark on your dream job.
Program FAQs
Any interested individual can sign up for the course, provided they fulfill the minimum requirements.
Yes, you will earn a Course Completion Certificate from SkillSchool, powered by ICASR upon successful completion. This certificate will help validate your new banking skills.
This course is for 1 week with a total of 10 hours of content spread across 5 weekdays.
Data Science is a constantly growing discipline with innumerable potential yet to surface. The growing reliance on technology, the proliferation of data and massive adoption have made Data science indispensable. It has emerged as a lucrative career opportunity, which is why data science courses have become highly popular.
The SkillSchool Data Science Introductory Certification Course is completely free. You only have to invest your time and earn high-in-demand skills and a certificate.
Candidates must have some basic computer knowledge.
Familiarity with programming languages is essential
Knowledge of fundamental mathematics is also one of the basic requirements.
Candidates must pass Intermediate/ 10+2/ 12th Grade (High School) from a recognised board.
Candidates must have attained the minimum age of 18 years to be eligible.
Participants can benefit a lot from the course. Learners will become adept at the data science fundamentals and build programming skills like Python and R. From developing foundational knowledge of data science to gaining insights into the complex cycle and processes involved, you will earn the necessary skills to further yourself in the ever-growing and increasingly in-demand industry.