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Data Science

Learn to collect, clean, analyse and visualise data, then build simple predictive models.

  • DDaniyal Computer Academy Quaidabad
  • Duration: 6 Months
  • 5 sections, 23 lessons

Course Info

This course takes you from spreadsheets and Python basics to analysing real datasets and presenting what you find.

Classes are practical: every topic ends with a small project so you build a portfolio as you learn.

What you will learn

  • Write Python for data work
  • Clean and prepare messy datasets
  • Build charts and dashboards
  • Use statistics to explain results
  • Train and test basic machine-learning models
  • Present findings clearly

Course outline

  1. Month 1 – Python FoundationsSyntax, data types, loops, functions and files.
  2. Month 2 – Working With DataNumPy and Pandas for cleaning and reshaping data.
  3. Month 3 – StatisticsProbability, distributions, testing and regression.
  4. Month 4 – VisualisationCharts and dashboards that tell a story.
  5. Month 5 – Machine LearningPrediction, classification and model evaluation.
  6. Month 6 – CapstoneA complete project from data to presentation.

Course Curriculum

Python for Data6 lessons
  • Variables and data types
  • Conditions and loops
  • Functions and modules
  • Reading and writing files
  • NumPy arrays
  • Pandas DataFrames
Statistics5 lessons
  • Descriptive statistics
  • Probability basics
  • Distributions
  • Hypothesis testing
  • Correlation and regression
Data Visualisation4 lessons
  • Matplotlib basics
  • Seaborn plots
  • Choosing the right chart
  • Building a dashboard
Machine Learning5 lessons
  • Supervised and unsupervised learning
  • Linear and logistic regression
  • Decision trees
  • Model evaluation
  • Avoiding overfitting
Final Project3 lessons
  • Choose a dataset
  • Analyse and model
  • Present your findings

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Who should join

  • School and college students
  • Job seekers and career changers
  • Working professionals who want new skills
  • Freelancers and entrepreneurs

Career opportunities

  • Data Analyst
  • Junior Data Scientist
  • Business Intelligence Analyst
  • Machine Learning Assistant
  • Freelance Analyst

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