Data Science With Python Programming
![learning-Python-scaled learning-Python-scaled](https://teck-skills.com/wp-content/uploads/2024/03/learning-Python-scaled-1-760x424.jpg)
Course Description: Unlock the power of data by mastering the art of data analysis with Python programming. This comprehensive course is designed for individuals looking to harness the potential of Python for extracting meaningful insights from raw data. Whether you’re …
Course Description:
Unlock the power of data by mastering the art of data analysis with Python programming. This comprehensive course is designed for individuals looking to harness the potential of Python for extracting meaningful insights from raw data. Whether you’re a beginner or an experienced programmer, this course will guide you through the essential tools and techniques needed to analyze, visualize, and interpret data effectively.
Key Topics Covered:
- Introduction to Python for Data Analysis:
- Overview of Python programming language
- Setting up the Python environment for data analysis
- Basic Python syntax and data structures
- Data Manipulation and Cleaning:
- Importing and exporting data using popular libraries (e.g., Pandas)
- Cleaning and preprocessing data for analysis
- Handling missing data and outliers
- Exploratory Data Analysis (EDA):
- Descriptive statistics and data summarization
- Data visualization using Matplotlib and Seaborn
- Uncovering patterns and trends in the data
- Statistical Analysis with Python:
- Introduction to statistical concepts
- Performing statistical tests and hypothesis testing
- Correlation and regression analysis
- Machine Learning Fundamentals:
- Overview of machine learning in Python
- Supervised and unsupervised learning techniques
- Model evaluation and selection
- Time Series Analysis:
- Analyzing time-dependent data
- Forecasting and trend analysis with Python
- Seasonal decomposition and anomaly detection
- Case Studies and Real-World Applications:
- Applying data analysis techniques to real-world scenarios
- Hands-on projects and case studies
- Industry-relevant examples and best practices
- Final Project:
- Integrating knowledge gained throughout the course
- Working on a comprehensive data analysis project
- Peer and instructor feedback for improvement
By the end of this course, participants will have a strong foundation in using Python for data analysis, enabling them to confidently explore and derive valuable insights from diverse datasets. Join us on this journey to become a proficient data analyst equipped with the skills to navigate the dynamic landscape of data-driven decision-making.
🎓 Why Choose This Course?
🕒 Self-Paced Learning: Fit it into your schedule
🆕 Beginner-Friendly: Beginner friendly approach
🧑🏫 Expert-Led Instruction: Learn from experienced professionals
🛠️ Hands-On Exercises: Apply skills with real-world examples
🔄 Lifetime Access: Refresh your knowledge anytime
💰 Limited-Time Offer: Enroll now for only N3,500 (originally N15,000)!
🌟 Invest in Your Future! Don’t miss out on this opportunity.
👉 Sign up to enroll now and start your journey to mastery!
📆 Hurry, offer ends soon! 📆
FREQUENTLY ASKED QUESTIONS
Are the videos downloadable?
The videos are highly compressed and downloadable.
What are the course requirements?
Access to a laptop.
How will I get access to the Course videos and Materials?
Once payment is completed. The course lessons and materials will be available to you instantly.
Will the certificate be issued?
Yes, a certificate of completion will be issued at the end of the course at No charge.
My name is Awesome Emmanuel. I'm a British Council certified instructor based in Lagos, Nigeria. A data analyst/database administrator with over 6 years of active industrial work experience. A seasoned and resourceful ICT Tech-skill instructor, Data analyst consultant, Edu-Tech consultant and a web developer with great flair for providing soft and digital ICT skills.
You might be intersted in
-
2 Students
- Lifetime
-
2 Students
- Lifetime
-
2 Students
- Lifetime
-
1 Student
- Lifetime