Course Provider
What will you learn in Acquiring Data course?
- This course introduces the basic concepts of data required for data science, examining various categories of data and big data terminologies and frameworks.
- This course also covers the DataFrames from the Pandas library in Python.
- The concepts and techniques in this course will serve as building blocks for the advanced topics in data science. This course maps to N8101.
- This course offers learning components, such as: videos explaining the concepts and techniques, knowledge checks to review and test concept retention, and hands-on exercise documents, guiding to apply the learning.
- The platform required for this is Jupyter Notebook with Python 3.6 and above.
Acquiring Data
-
Skill Type
Emerging Tech
- Domain
AI/BDA
- Course Category
Deepskilling Course
- Certificate Earned Joint Co-Branded Participation Certificate
- Nasscom assessment Available
- Course Covered under GoI Incentive
No
-
- Course Price
Free
- Course Duration
10 Hours
- Course Price
Why you should take Acquiring Data course?
- This course introduces the various types of data and the methods of acquiring and storing them.
- During the run time 10 hours across 4 modules, the learner gets familiar with concepts like - data, Big data and its frameworks, metadata, categories of data and their applications, DataFrame and different data validation processes.
- Platforms required for this course are Jupyter Notebook with Python 3.6 or above.
Who should take Acquiring Data course?
- BE/ BTech students-any stream
- Non-engineering students-STEM background
- Working Professionals
Curriculum
- Introduction to Data
- Types of Data
- Storing Data
- Introduction to Data Validation
Tools you will learn in Acquiring Data course
- Big Data
- Metadata
- Pandas
- DataFrame
- Data Validation