app.py

import streamlit as st
import requests
from streamlit_lottie import st_lottie

def load_lottieurl(url: str):
    r = requests.get(url)
    if r.status_code != 200:
        return None
    return r.json()



lottie_data_analysis = load_lottieurl("https://assets2.lottiefiles.com/packages/lf20_4kx2q32n.json")

st.markdown("<h1 style='text-align:center; color: black;'>Data Analysis With Python 🕵</h1>", unsafe_allow_html=True)

st_lottie(lottie_data_analysis, height=150, key="data_analysis")



st.markdown("<h2 style='text-align:left; color: black;'>About the web app </h2>", unsafe_allow_html=True)

   
# About the app section
st.markdown("""


Welcome to the **Data Analysis with Python** app! This platform is designed to help you learn, revise, and master data analysis concepts using Python. Whether you're a student or a professional, our app provides you with:

- **Comprehensive Notes**: Detailed explanations and notes on various data analysis topics.
- **Code Examples**: Practical code snippets and examples to help you understand and implement data analysis techniques.
- **Quizzes**: Test your knowledge with quizzes covering different aspects of data analysis.
- **Projects**: Hands-on projects to apply what you've learned and gain practical experience.

### Why Learn Data Analysis with Python?

Data analysis is a critical skill in today's data-driven world. Python is one of the most popular programming languages for data analysis due to its simplicity, readability, and powerful libraries such as pandas, NumPy, and matplotlib. By mastering data analysis with Python, you can:

- **Extract Insights**: Analyze data to uncover trends, patterns, and insights that can drive decision-making.
- **Enhance Skills**: Improve your programming and analytical skills, making you more competitive in the job market.
- **Solve Problems**: Apply data analysis techniques to solve real-world problems across various domains.

### App Features

- **Interactive Tutorials**: Step-by-step tutorials to guide you through data analysis concepts.
- **Data Visualization**: Learn how to visualize data effectively to communicate your findings.
- **Advanced Topics**: Dive into advanced topics like machine learning and big data analysis.

We hope you enjoy using this app and find it valuable in your learning journey. Happy analyzing!
Click on the below icon to start you journey 
""")

col1, col2, = st.columns(2,gap="small")

with col1:
  st.page_link("pages/Intro.py", label="Intro", icon="1️⃣")
with col2:
  st.page_link("pages/RoadMap.py", label="Roadmap", icon="2️⃣",)


st.markdown("---")
st.markdown("© 2024 Data Analysis with Python innomatics. All rights reserved.")