Introduction
This roadmap explains the steps to learn data analysis from the ground up. The goal is simple progress through spreadsheet skills, SQL, Python, visualization, and real projects. Next, you build confidence with consistent practice.
هاد ال roadmap كتعطيك طريقة سهلة باش تولي data analyst. غادي تبدا ب Excel ثم SQL ثم Python و visualization.
1. Learn Spreadsheet Skills
Excel or Google Sheets form the starting point for most analysis tasks. Learn basic operations and cleaning steps.
Core Skills
- Sorting and filtering
- Pivot tables
- Conditional formatting
- Basic formulas
- Data cleaning
تعلم Excel. sorting و filtering و pivot tables ضروريين.
2. Learn Basic Statistics
Statistics supports clear decision making. Focus on simple ideas first.
Main Topics
- Mean and median
- Variance and standard deviation
- Correlation
- Sampling
- Distribution basics
تعلم mean و variance و correlation باش تفهم data مزيان.
3. Learn SQL
SQL helps you extract, filter, and join data. You will use it in most analysis tasks.
Focus Points
- Select queries
- Filtering and ordering
- Joins
- Aggregation
- Subqueries
SQL مهم بزاف. تعلم SELECT و JOIN و GROUP BY.
4. Learn Python for Analysis
Python improves automation and speed. Use it to clean data, merge tables, and create visuals.
Important Libraries
- Pandas
- NumPy
- Matplotlib
- Seaborn
Tasks to Practice
- Loading datasets
- Handling missing values
- Merging datasets
- Grouping and aggregating
- Simple plots
تعلم Pandas و Matplotlib باش تخدم على data بسرعة.
5. Learn Data Visualization
Data visuals support insight communication. Build clean charts and dashboards.
Tools
- Power BI
- Tableau
- Looker Studio
Visuals to Build
- Bar charts
- Line charts
- Pie charts
- Heatmaps
- Dashboards
Power BI و Tableau مهمين باش دير dashboards واضحة.
6. Learn Business Understanding
Data analysts explain insights for business decisions. Learn how to analyze goals and write simple reports.
Key Skills
- Understanding KPIs
- Asking clear questions
- Explaining results
- Building reports
فهم KPIs و كيفاش تقدم insights بطريقة واضحة.
7. Build Real Projects
Projects build experience. Work with public datasets and document results.
Project Ideas
- Sales analysis
- Marketing performance
- Customer behavior
- Product performance
- Finance dashboards
دير مشاريع بحال sales analysis ولا dashboards ديال finance.
8. Build Your Portfolio
Collect your strongest work. Publish dashboards and reports. Share insights on GitHub or LinkedIn.
دير portfolio فيه مشاريع واضحة وشارك links ديال dashboards.
Syntax or Workflow Example
Below is a simple Python example for loading a dataset and creating a quick summary.
import pandas as pd
df = pd.read_csv("data.csv")
print(df.head())
print(df.describe())
هادا مثال باش تشوف البيانات وتستخرج معلومات أولية.
Exercises
- Create a pivot table in Excel with sales by region.
- Write a SQL query that joins two tables.
- Calculate correlation between two variables.
- Create a bar chart for product performance.
- Load a CSV file with Pandas.
- Clean missing values from a dataset.
- Group data by category and compute averages.
- Build a dashboard in Power BI.
- Create a scatter plot using Matplotlib.
- Write a short report explaining insights from one dataset.
Conclusion
Follow the steps and practice each skill. Data analysis grows with repetition and real reports.
تبع الخطوات و خدم بزاف على data باش تولي data analyst قوي.