Data Analytics with Python: Foundations and Applications | Data Science | Python
Important Links:
Important Links:
Registration link: https://rb.gy/s4fhyj
Webpage: https://rb.gy/w6idds
Android App: https://rb.gy/n9j0sd
MTTF: www.mttf.in
About
"Data Analytics with Python: Foundations and Applications" is a comprehensive program that introduces the core concepts and techniques of data analytics using Python. This course covers essential topics such as data manipulation, visualization, and statistical analysis, providing hands-on experience with Python libraries like Pandas , Matplotlib, and NumPy Participants will learn how to process large datasets, uncover patterns, and make data-driven decisions. Ideal for beginners and professionals alike, this course bridges foundational knowledge with real-world applications across various domains, empowering learners to effectively analyze and interpret data.
Mode of Course
Online: The course will be delivered entirely online, allowing participants to learn at their own pace from anywhere.
1. Recorded Lectures: Access pre-recorded video lectures and tutorials.
2. Live Sessions: Participate in scheduled live Q&A sessions with instructors.
3. Self-Paced Learning: Complete assignments, quizzes, and projects on your own schedule.
4. Interactive Forums: Engage with peers and instructors through online discussion forums.
Course Objectives:
1. Understand the basics of Python programming.
2. Learn to manipulate and analyze data using Python libraries.
3. Apply statistical methods to data analysis.
4. Visualize data using Python.
5. Gain hands-on experience through projects in health science, environmental science, business analytics, social science, medical science and many more.
Eligibility for Enrollment:
Undergraduate students currently enrolled in any academic program.
Professionals seeking to enhance their data analysis skills using Python.
Individuals with a basic understanding of programming and a keen interest in data science.
Students from health science, environmental science, and related fields are looking to apply data analysis techniques in their studies and research.
Anyone interested in learning the fundamentals and applications of data analysis with Python
Course Commitment
Spend 4 hours per week on recorded lectures, assignments, quizzes, reading materials, and projects to complete the course in 10 weeks.
Prerequisites:
To ensure that students can successfully complete the course, the following prerequisites are recommended:
1. Basic Computer Literacy: Familiarity with operating systems (Windows, macOS, or Linux). Basic 2. knowledge of file management and using web browsers
3. Mathematics Fundamentals: Understanding of basic algebra, Familiarity with basic statistics concepts (mean, median, mode, standard deviation, probability)
4. Programming Knowledge: Basic understanding of programming concepts such as variables, loops, and conditionals. Prior experience with any programming language (e.g., C, C++, Java) is beneficial but not mandatory
5. Software Installation: Ability to install software on a computer, including Python and relevant libraries (instructions will be provided during the course)
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