Data Analytics with Python
Master the art of data analytics with Python, a leading programming language for data-driven decision-making and insights. This comprehensive course is tailored to equip professionals, students, and enthusiasts with essential skills in Python programming, data manipulation, statistical analysis, and visualization techniques. Emphasizing practical applications, it is ideal for career advancement in data analytics, business intelligence, and machine learning.
Key Features:
- Interactive Learning: Hands-on projects, real-world datasets, and engaging exercises.
- Modern Techniques: Focus on cutting-edge libraries like Pandas, NumPy, Matplotlib, and Seaborn.
- Career-Centric Modules: Application-driven lessons to address real-world business challenges.
- Continual Professional Development (CPD): Regular updates on advanced analytics trends, ensuring relevance to industry needs.
Who Should Enroll?
This course is ideal for:
- Professionals seeking data-driven decision-making skills.
- Students aiming for careers in data science, analytics, or AI.
- Enthusiasts exploring Python for advanced analytics.
Tags
Python for data analytics, Pandas and NumPy tutorials, business analytics with Python, data visualization with Matplotlib, Seaborn for dashboards, CPD in data science, statistical analysis in Python.
Responsible | SolBizTech |
---|---|
Last Update | 02/19/2025 |
Completion Time | 22 hours 29 minutes |
Members | 19 |
Main Category | Business Analytics |
Sub Category | Python |
Author |
Mohsin Yaseen
Rabia Habiba
SolBizTech
|
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Week 01: Python for Business Analytics14Lessons · 8 hr 14 min
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Week 01 - Overview of Python
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Preview
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Setting up the environment and writing basic Python code
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Download Exercise Files
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Introduction to Python for Business Analytics
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Python List and Knowledge Base
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Python Tuple and Knowledge Base
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Python Dictionary and Knowledge Base
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Python Condition & Knowledge Base
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Python list & Knowledge Base
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Python Function, Nested Function and Recursive Function
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Python Data Sciences Libraries
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Overview of Panda's Dataframe Structure
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Mini Project in Python - Week 01
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Week 02: Pandas Essentials for Data Practitioners6Lessons · 7 hr 46 min
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Week 02 Pandas Essentials for Data Practitioners
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Import Export in Pandas
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Preview
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Data Manipulation and Cleaning with Pandas
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From Data to Decisions: Pandas EDA Techniques
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Mini Project: Turning Raw Financial Data into Insights with Pandas
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Week 03: Mastering Data Operations with NumPy5Lessons · 3 hr 24 min
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Week 03 - Mastering Data Operations with NumPy
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Preview
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Practice of NumPy with Enriched Sales Data (5000 records)
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Data Generation Example by NumPy (simulation)
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Mini Project - Performance Analysis Group and Companies!
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Week 04: Statistical Foundations and Applications with Python5Lessons · 3 hr 5 min
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Preview
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Central Tendency and Dispersion in Python
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Distribution and It's types in Python
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Correlation and Causation in Python
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Basics of Time-Series Data in Python
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