DATA ANALYSIS USING PYTHON ;

Course Details

DATA ANALYSIS USING PYTHON

Instructor Name

Jassen Japheth Gaddiun

ICT COURSES

Reviews

5 (1 Rating)

Course Requirements

Basic computer literacy and familiarity with using a computer.
Basic understanding of mathematics and statistics is helpful but not mandatory.
Basic programming knowledge is an advantage but not required.
Access to a computer with Python installed or access to a Python development environment.
Willingness to participate in practical coding exercises, data analysis projects, assignments, and assessments.
No prior professional experience in Python or data analysis is required.

Course Description

Data Analysis Using Python introduces learners to the use of Python programming for collecting, cleaning, processing, analyzing, and visualizing data. The course provides a practical foundation for using Python and popular data analysis libraries to transform raw datasets into meaningful insights that can support research, business intelligence, and informed decision-making.

Learners will explore Python fundamentals, data structures, NumPy, Pandas, data cleaning, exploratory data analysis, statistical analysis, and data visualization using tools such as Matplotlib and Seaborn. The course emphasizes hands-on exercises and real-world datasets, enabling learners to develop practical skills for analyzing and communicating data effectively.

Course Outcomes

By the end of this course, learners should be able to:

Explain the fundamental concepts and principles of data analysis using Python.
Understand and apply basic Python programming concepts for data analysis.
Import, organize, and manage datasets using Python.
Use NumPy and Pandas to manipulate and analyze structured data.
Clean datasets by identifying and handling missing, duplicate, inconsistent, or incorrect data.
Perform exploratory data analysis to identify trends, patterns, relationships, and anomalies.
Apply basic statistical techniques to analyze and interpret datasets.
Create meaningful charts and visualizations using Python data visualization libraries.
Combine and transform data from different sources for analysis.
Interpret analytical results and communicate data-driven insights clearly.
Use Python-based analytical techniques to solve practical business, research, and organizational problems.
Develop a strong foundation for progressing into advanced data science, machine learning, and predictive analytics.

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Course Curriculum

1 DATA ANALYSIS USING PYTHON

1 Hour30 Min

DATA ANALYSIS USING PYTHON

1 FOUNDATIONS OF PYTHON AND DATA ANALYSIS

1 Hour30 Min

FOUNDATIONS OF PYTHON AND DATA ANALYSIS

1 PYTHON DATA STRUCTURES AND NUMPY

1 Hour30 Min

PYTHON DATA STRUCTURES AND NUMPY

1 PANDAS, DATA IMPORT AND DATA MANAGEMENT

1 Hour30 Min

PANDAS, DATA IMPORT AND DATA MANAGEMENT

1 DATA CLEANING AND TRANSFORMATION WITH PANDAS

1 Hour30 Min

DATA CLEANING AND TRANSFORMATION WITH PANDAS

1 EXPLORATORY DATA ANALYSIS AND STATISTICS

1 Hour30 Min

EXPLORATORY DATA ANALYSIS AND STATISTICS

1 DATA VISUALIZATION WITH MATPLOTLIB AND SEABORN

1 Hour30 Min

DATA VISUALIZATION WITH MATPLOTLIB AND SEABORN

1 COMBINING DATA, ADVANCED PANDAS OPERATIONS AND ANALYTICAL WORKFLOWS

1 Hour30 Min

COMBINING DATA, ADVANCED PANDAS OPERATIONS AND ANALYTICAL WORKFLOWS

1 REPORTING, PROJECT WORK AND PATHWAY TO DATA SCIENCE

1 Hour30 Min

REPORTING, PROJECT WORK AND PATHWAY TO DATA SCIENCE

1 FINAL COURSE REVIEW

1 Hour30 Min

FINAL COURSE REVIEW

1 PRACTICAL ACTIVITIES

1 Hour30 Min

PRACTICAL ACTIVITIES

Instructor

Jassen Japheth Gaddiun

Senior Lecturer | Technopreneur | IT Consultant | Technology Strategist | Digital Transformation Specialist | Software & Web Solutions Expert | Data & AI Enthusiast | Cybersecurity Advocate

Senior Lecturer

5 Rating

1 Reviews

25 Students

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This course includes:

Duration N/A
Skill Level Professional Diploma
Lectures 11 lessons
Enrolled 1 students
Certificate of Completion
Full lifetime access

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