Beginner to Advanced Data Analysis
Course Study Material (Full 3-Month Curriculum)
Month
1: Foundations (Excel, Python, SQL Basics)
Week
1: Introduction to Software Development & HTML Basics
1.
What is Software Development?
Software development is the process
of creating computer programs that perform specific tasks. These can be
websites, mobile apps, or software for businesses.
👉 Example: Creating a
mobile app like WhatsApp, or a school result calculator.
2.
How Software Development Works
Software development usually follows
a set of steps called the Software Development Life Cycle (SDLC):
- Planning
– Understand what the software should do.
- Designing
– Sketch out how the software will look and work.
- Coding
– Write the actual program using programming languages.
- Testing
– Check for mistakes or bugs.
- Deployment
– Launch the software for people to use.
- Maintenance
– Keep improving and fixing the software.
3.
Tools You Need
- Text Editors
– For writing code. (Example: VS Code, Notepad++)
- Web Browsers
– To view your website. (Example: Chrome, Firefox)
- Languages
– HTML (structure), CSS (style), JavaScript (functionality)
4.
Introduction to Websites Using Code
A website is a collection of web
pages. It can be:
- Static
(just content)
- Dynamic
(interactive, like login systems)
5.
How to Create and View an HTML Page
Open VS Code or Notepad and write:
<!DOCTYPE html>
<html>
<head>
<title>My First Web Page</title>
</head>
<body>
<h1>Welcome to My Website</h1>
<p>This is my first webpage.</p>
</body>
</html>
Explanation:
- <!DOCTYPE html>: Tells the browser this is an HTML5 page.
- <html>: Starts the page.
- <head>: Hidden part (e.g., title, links).
- <title>: Title shown in the browser tab.
- <body>: Visible content like headings and text.
- <h1>: A big heading.
- <p>: A paragraph.
🔹 Save as index.html, and double-click to open in a browser.
6.
Understanding Tags and Elements
- A tag is a keyword in angle brackets like <p>.
- An element includes the tag and its content like
<p>Hello</p>.
Week
2: Microsoft Excel for Data Analysis
1.
Introduction to Excel
Excel helps to store and calculate
data easily using rows and columns.
👉 Example Table:
|
Name |
Score |
|
John |
80 |
|
Mary |
45 |
2.
Useful Formulas in Excel
- =SUM(B2:B3) → Adds numbers in B2 and B3.
- =AVERAGE(B2:B3) → Finds average.
- =IF(B2>=50,"Pass","Fail") → Checks if score is a pass.
3.
Creating Charts
- Highlight data.
- Click “Insert” → Choose “Bar Chart” or “Pie Chart”.
Mini
Project:
- Create a result sheet with 5 students.
- Add columns: Total, Average, and Result.
Week
3: Python Basics for Data
1.
Installing Python & Jupyter Notebook
- Download Anaconda from https://anaconda.com
- Launch Jupyter Notebook from Anaconda Navigator.
2.
Basic Python Code
name = input("Enter your name:
")
score1 = int(input("Enter score
1: "))
score2 = int(input("Enter score
2: "))
total = score1 + score2
average = total / 2
print("Hello", name)
print("Your average score
is:", average)
Explanation:
- input() asks the user to type something.
- int() converts input to a number.
- +
adds, / divides.
- print() displays output.
Mini
Project:
Ask name and two scores. Show total
and average.
Week
4: SQL Basics
1.
What is SQL?
SQL is a language for storing and
retrieving data from a database.
2.
SQL Commands
CREATE TABLE students (
id INT,
name VARCHAR(50),
score INT
);
INSERT INTO students VALUES (1,
'John', 75);
SELECT * FROM students;
Explanation:
- CREATE TABLE creates a new table.
- INSERT INTO adds data.
- SELECT * shows all the data.
Mini
Project:
Create a student table, add 3
students, and display all records.
Month
2: Intermediate Level
Week
5: Working with Data in Python (Pandas)
1.
Reading CSV Files
import pandas as pd
data = pd.read_csv('students.csv')
print(data.head())
Explanation:
- import pandas as pd: Brings in the pandas library.
- read_csv(): Opens your file.
- head(): Shows first few rows.
Mini
Task:
Create students.csv with name and score. Open and display using Python.
Week
6: Cleaning Data with Pandas
1.
Fixing Missing Data
data.dropna() # Removes rows with empty data
data.fillna(0) # Fills empty spots with 0
Mini
Project:
Load a CSV with empty spaces, clean
it, and print cleaned data.
Week
7: Using SQL in Python
1.
Accessing SQL from Python
from sqlalchemy import create_engine
import pandas as pd
engine =
create_engine('sqlite:///students.db')
data = pd.read_sql("SELECT *
FROM students", engine)
print(data)
Explanation:
- sqlalchemy lets Python talk to SQL databases.
Mini
Task:
Store students in a database and use
Python to access the data.
Week
8: Data Visualization
1.
Making Charts in Python
import matplotlib.pyplot as plt
names = ['John', 'Mary', 'Emma']
scores = [85, 60, 90]
plt.bar(names, scores)
plt.title("Student Scores")
plt.xlabel("Names")
plt.ylabel("Scores")
plt.show()
Explanation:
- bar() draws bar chart.
- title(), xlabel(), ylabel() – add labels.
- show() – displays chart.
Mini
Task:
Make a chart for student
performance.
Month
3: Advanced Projects & Tools
Week
9: Power BI for Reporting
1.
Getting Started
- Install Power BI Desktop
- Import Excel or CSV files
- Drag and drop charts and tables
Mini
Project:
Create a dashboard showing subject
scores.
Week
10: Git & GitHub for Saving Work
1.
What is Git?
Git saves different versions of your
code. GitHub stores it online.
Commands:
git init
git add .
git commit -m "My first
project"
git remote add origin
<your_git_url>
git push -u origin main
Mini
Task:
Upload your Python projects to
GitHub.
Week
11: APIs and Automation
1.
Using an API in Python
import requests
response =
requests.get("https://api.exchangerate-api.com/v4/latest/USD")
data = response.json()
print("Dollar to Naira:",
data['rates']['NGN'])
Explanation:
- requests.get() gets data from the internet.
- json() turns it into something Python can use.
Mini
Project:
Create a tool to convert USD to
Naira using live data.
Week
12: Final Projects
Choose 1 or more:
- Create a full student result system in Python.
- Build a sales dashboard using Power BI.
- Clean and visualize real-world data using Excel +
Python.
Would you like me to create quizzes
or assignments for each week?
0 comments:
Post a Comment