End-to-end data analysis
Collect, clean, analyze, and visualize data, then turn the results into a clear, actionable report.
Python for Data Analysis and Business Intelligence Bootcamp in Partnership with Cisco
Python for Data Analysis and Business Intelligence Bootcamp in Partnership with Cisco
A practical, recorded program that takes you from Python fundamentals to data analysis with Pandas and NumPy. You'll then work with SQLite using Python, build a simple ETL pipeline, and create an interactive dashboard with Streamlit, with instructor support whenever you have questions during practice.
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Structured recorded lessons, with support whenever you have questions.
Learn how to collect, clean, analyze, and visualize data and automate reports in Python using workflows relevant to the workplace, with support as you complete your projects.
0Hands-on projects
PythonAnalysis and automation
CiscoTraining partnership
3Months of follow-up support
What will you learn?
Essential Python skills for data analysts
A practical curriculum that turns Python from a programming language into a tool for analyzing data, building reports, and automating tasks.
Clean, well-structured Python
Write maintainable code with functions, modules, logging, and organized project structures.
Pandas and NumPy
Process CSV and Excel files, clean data, use GroupBy and pivot tables, and perform merging and numerical analysis.
ETL and Streamlit
Retrieve data from APIs, build a simple ETL pipeline, and create interactive dashboards to showcase your work.
The bootcamp approach
More than learning Python libraries
Companies need people who can turn data into actionable results: collecting and cleaning data, producing clear analyses, and automating reports. This bootcamp is designed to help you build complete data solutions with Python.
1
Start with the fundamentals
Python syntax, variables, conditions, loops, functions, file handling, and error management.
2
Analyze real-world data
Use NumPy, Pandas, CSV, and Excel to clean data and uncover KPIs and insights.
3
Connect SQL and APIs
Work with SQLite through Python, run analytical queries, and build a mini ETL pipeline from an API to a report.
4
Showcase your project
Create a Streamlit dashboard, a GitHub portfolio, and a professional README, and prepare for interviews.
Training curriculum
Practical bootcamp modules
Ten progressive modules take you from setting up your environment to building a dashboard and delivering portfolio-ready projects.
01
Professional development environment setup
- Python, venv, pip, and requirements files.
- Work efficiently with Jupyter and VS Code.
- Git, GitHub, and file organization.
02
Python fundamentals
- Syntax, variables, and data types.
- Conditions, loops, and functions.
- File handling and error handling.
03
Data structures and maintainable code
- Lists, tuples, sets, and dictionaries.
- Comprehensions and modules.
- Logging and an introduction to testing.
04
NumPy for numerical analysis
- Arrays and vectorization.
- Broadcasting and aggregations.
- Statistical functions and simulation.
05
Pandas for data processing
- Import CSV/Excel files and export results.
- Cleaning, GroupBy, and pivot tables.
- Merging and generating insights in a notebook.
06
SQLite with Python
- Tables, keys, and relationships.
- Joins, subqueries, and window functions.
- sqlite3 and pandas.read_sql.
07
Data visualization and storytelling
- Choose the right chart for the data.
- Hands-on Matplotlib and Seaborn.
- Insights and actionable recommendations.
08
APIs, ETL, and report automation
- Requests, parameters, and pagination.
- Extract / Transform / Load.
- Automated Excel/CSV reports and charts.
09
Streamlit Dashboards
- Layouts, filters, and KPIs.
- Charts, tables, and caching.
- Optionally publish your app as an advanced step.
10
Portfolio and interview readiness
- A professional README and screenshots of your results.
- Present your project from problem to results.
- CV, LinkedIn, and Python/Pandas/SQLite interview questions.
Complete sales analysis
Clean CSV/Excel data, analyze performance indicators, and develop actionable recommendations.
Mini ETL pipeline from an API
Fetch data from an API, transform it, store it in SQLite, and generate an automated report.
Streamlit Dashboard
An interactive dashboard with KPIs, charts, and tables to showcase in your portfolio.
Portfolio
Portfolio-ready projects
- Organized notebooks.
- Shareable reports.
- Dashboard and GitHub README.
Practice
Continuous hands-on practice
- Data cleaning.
- Pandas analysis.
- SQLite and APIs.
- Data visualization and reporting.
Recorded
Structured recorded content
- Learn at your own pace.
- A clear plan for modules and projects.
- Revisit lessons while practicing.
Support
Support whenever you have questions
- Instructor assistance when you have questions.
- Guidance on projects and deliverables.
- Three months of follow-up support.
Mostafa Nabieh
Training Consultant at Tharaa Training CenterA trainer accredited by Microsoft, Google, and Huawei, with over seven years of experience in training, consulting, and developing practical learning paths. In this bootcamp, he focuses on making Python approachable and connecting it to data analysis and portfolio-ready projects, while supporting learners who have questions during practice.
What will you be able to do by the end of the bootcamp?
You'll be able to use Python for data analysis, clean CSV and Excel files, analyze data with Pandas and NumPy, query SQLite, build a simple ETL pipeline, and create an interactive dashboard to showcase on GitHub and in interviews.
Bootcamp instructor
Learn Python with Mostafa Nabieh
One instructor leads the training and connects practical work to job-market needs, with support available whenever learners have questions.
Mostafa Nabieh
Accredited Trainer and Training Consultant at TharaaA trainer accredited by Microsoft, Google, and Huawei, with over seven years of experience in training, consulting, and developing hands-on educational paths. He helps learners use Python as data analysts do: cleaning and analyzing data, building reports, automating tasks, and preparing portfolio-ready projects.
Bootcamp benefits
Flexible, hands-on learning focused on outcomes
Learn on your own schedule through practical projects, instructor support, certificates, and work you can showcase.
Certificates and career support
A certificate from Tharaa Training Center and a certificate from Cisco Networking Academy, plus a nomination letter for outstanding learners.
A portfolio you can showcase
Notebooks, reports, dashboards, and a GitHub README to present your projects professionally.
Real-world data
CSV/Excel files, SQLite, and APIs that reflect real workplace data challenges.
Career preparation
CV and LinkedIn guidance, plus interview practice focused on Python, SQLite, Pandas, and project outcomes.
Bootcamp enrollment
Start building practical skills in Python and data analysis
Designed for learners who want practical Python skills for analytics, from the fundamentals to building reports, dashboards, and portfolio projects.
- A step-by-step curriculum from beginner level to practical application.
- More than 10 hands-on projects using real-world data.
- Recorded lessons with support whenever you have questions.
- A Tharaa certificate and a certificate from Cisco Networking Academy.
Frequently asked questions
Before you enroll
Quick answers to common questions about learning format, support, projects, and certificates.
Yes. It starts with Python basics and setting up your environment, then progresses through NumPy, Pandas, SQLite, APIs, and Streamlit.
Yes. The lessons are recorded and organized for flexible learning, with follow-up support whenever you have questions or need help reviewing your project work.
You'll work on data analysis projects, clean CSV/Excel files, use SQLite, retrieve data from APIs, and build a Streamlit dashboard.
Yes. You'll create showcase-ready deliverables such as notebooks, reports, dashboards, and a well-organized GitHub README.
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Start learning Python for data analysis and business intelligence today
Learn Python, Pandas, SQLite, APIs, and Streamlit, and build hands-on projects you can showcase on GitHub and in interviews.