DATA SCIENCE WITH PYTHON

offered by:

Codanics

in collaboration with

University of Agriculture, Faisalabad, Pakistan
Pakistan Agricultural Scientists Forum
Talon Institute of higher Studies
University of Education, Lahore
Scholarship Network (Facebook Group)

This online course enabled learners to use Python, Git, and Markdown - for data science and machine learning --to develop participants understanding with real world projects and hand-on practicals which will allow them to use publicly available databases to analyze and interpret information and build analytical insights as results. This course also encompassed the development of soft skills to buils their online professional presence.

Introduction to the Course:

This course covers basic and applied understanding of python for data science from the very begining to advanced levels. It explains the use of basic Data Science tools, i.e. Python, Jupyter Notebooks, Markdown, and Git for code version control. The role of Python for Data Visualization, Data Wrangling, Exploratory Data Analysis (EDA), Image & Video Analysis, and Machine Learning while working on exciting real life projects.

Data was collected during live sessions for machine learning chanllenges to give a complete sense of data science methodology to the students. Sessions were included to improve publications, to improve communications and workshop included to teach students how to show professional presence on social media platform and how to engage with like minded people within their fields. This course was attended by more then 120 students from varsatile backgrounds.

Study Requirements:

6 weeks, 30 hours per week

Learning Outcomes:

Learn the basic syntax of Python Programming Language
Utilize Markdown Languge to build visually appealing notebooks in Jupyter.
Utilize Git tools for version control and managing repositories.
Collecting data and managing data.
Understand the Data Structures and their Manipulation.
Analyze quantitative and qualitative data using Matplotlib, Seaborn and Plotly.
Exercise Data Wrangling using Scipy, Pandas and Numpy.
Interpret results of Data Analysis using Exploratory Data Analysis (EDA) methods.
Learn to perform the analysis using statistical methods.
Execute the machine Learning algorithms and test models.
Apply Computer Vision with OpenCV for image and Video Analysis.

Syllabus

Python Syntax
MArkdown
Git
Data Collection
Data Structures
Data Visualisation
Data Wrangling
Exploratory Data Analysis
Statistical Analysis
Machine Learning
- Supervised
- Semi-Supervised
- Unsupervised
Computer Vision

Started on 01-01-2022

Ended on 10-02-2022

Instructor

Dr. Aammar Tufail
Founder - Codanics
Pakistan
Conatact for Verification: [email protected]

Under Supervision of:

Dr. Abdul Wakeel
Assistant Professor,
Institute of Soil and Environment Sciences,
University of Agriculture, Faisalabad, Pakistan

Prof. Dr. Ghulam Murtaza
Director,
Institute of Soil and Environment Sciences,
University of Agriculture, Faisalabad, Pakistan

Dr. Mutahir Hussain
Registrar,
Talon Institue of HIgher Studies,
Lahore, Pakistan

Iqra Iqbal
Lecturer IT,
Division of Science and Technology,
University of Education,
Lahore, Pakistan

Dr. Waqar Baig
Founder,
Scholarship Network FAcebook Group
Pakistan.

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