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Python Data Analytics
This course introduces the use of the Python programming language to manipulate datasets as an alternative to spreadsheets. You will follow the OSEMN framework of data analysis to pull, clean, manipulate, and interpret data all while learning foundational programming principles and basic Python functions. You will be introduced to the Python library, Pandas, and how you can use it to obtain, scrub, explore, and visualize data.
By the end of this course you will be able to:
• Use Python to construct loops and basic data structures
• Sort, query, and structure data in Pandas, the Python library
• Create data visualizations with Python libraries
• Model and interpret data using Python
This course is designed for people who want to learn the basics of using Python to sort and structure data for data analysis.
You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate.
Duration
4 Months
Institution
Meta
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Meta.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$251
Total Est. Investment
$251
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Python Data Analytics program at Meta are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.