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Data Science Track

Data Science:
Beginner

4.8 (1,230 reviews)

Start your data science journey from scratch. Learn Python fundamentals, data collection, cleaning, preprocessing and exploratory data analysis (EDA) with hands-on tools like Pandas, NumPy and Matplotlib.

Created by Avanteia
12,580 Total Enrolled
15 September 2024 Last Updated
Enroll Now
Data Science Beginner Course
1 Month Duration
Certificate On Completion
Beginner Level
2 Modules Syllabus
1 Month Duration
English Language
Certificate Included

Overview

Start your data science journey from scratch. Learn Python fundamentals, data collection, cleaning, preprocessing and exploratory data analysis (EDA) with hands-on tools like Pandas, NumPy and Matplotlib.

Python Pandas NumPy Visualization EDA Preprocessing

Learning Outcome

Learn data basics, Python fundamentals, and preprocessing. Explore and visualize real-world datasets with hands-on tools.

Syllabus

Click any module to expand and view topics and hands-on labs included.

  • What is Data Science?
  • Real-world applications & career paths
  • Python fundamentals (variables, data types, loops, functions)
  • Libraries overview: NumPy, Pandas, Matplotlib
Hands-on Lab
Setup Google Colab/Jupyter Notebook Write Python programs (calculator, loops, list handling) Use Pandas to load & explore CSV data
  • Data collection (CSV, Excel, APIs, web scraping basics)
  • Cleaning missing values, duplicates, outliers
  • Encoding categorical data (One-hot, Label encoding)
  • Normalization & Standardization
  • Graphs: bar, line, scatter, histogram, boxplot, heatmaps
  • Correlation analysis
  • Feature importance overview
Hands-on Lab
Load a dataset from Kaggle Perform data cleaning using Pandas Handle missing values & outliers Use Matplotlib & Seaborn for visualization Create a heatmap of correlations Visualize trends in real-world dataset (COVID, Sales, etc.)

What You Will Learn

Python for Data Science

Master Python fundamentals along with NumPy, Pandas and Matplotlib for data manipulation and analysis.

Data Handling, Preprocessing & EDA

Collect, clean, encode and normalize data from various sources, then explore and visualize it to uncover insights.

What Our Students Say

"

The beginner course gave me a strong foundation in Python and Pandas. The hands-on labs with real datasets made everything click. I went from zero coding knowledge to cleaning and visualizing data confidently.

Vikram Patil Data Analyst, Mumbai
"

I joined with no prior experience, and the EDA module completely changed how I look at data. The 1-month duration is perfect for getting started, and the trainers explain every concept with practical examples.

Sneha Kadam Business Analyst, Pune
"

The preprocessing and visualization labs are incredibly practical. I used the skills from this course to build my first data portfolio project. Highly recommended for anyone starting a career in data science.

Rahul Menon Data Science Student, Bangalore

Ready to Start Your
Data Science Career?

Join 12,580+ learners who have started their journey with Avanteia. Enroll today and get certified in just one month.

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