Online Courses – Data Science Academy

Become a Data Analyst by using Excel , Power BI

تزودك هذه الدورة بالمهارات الأساسية التي يحتاجها محلل البيانات العصري باستخدام أكثر الأدوات انتشارًا وسهولة في العالم: Excel وPower BI. ستتعلم كيفية تحويل البيانات غير المنظمة إلى مجموعات بيانات نظيفة، وإجراء التحليلات المتقدمة باستخدام الجداول المحورية والصيغ في Excel، ثم عرض نتائجك بطريقة تفاعلية من خلال لوحات المعلومات والرسوم البصرية في Power BI. بنهاية الدورة، ستكون قادرًا على تحويل بيانات الأعمال إلى رؤى قابلة للتنفيذ والمساهمة في اتخاذ قرارات مبنية على البيانات بثقة واحترافية.

Python for Data Analyst

This course transforms you into a proficient Data Analyst by harnessing the power and flexibility of Python. You'll learn to use essential libraries like pandas for data manipulation, NumPy for numerical computing, and Matplotlib/Seaborn for creating insightful visualizations. Dive into statistical analysis, automate repetitive tasks, and get an introduction to predictive modeling with machine learning. Graduate with the skills to handle large, complex datasets and solve real-world business problems.

SQL From Beginner to Advance

This comprehensive course takes you on a complete journey through SQL, the fundamental language for communicating with databases. Starting with the basics of SELECT statements and WHERE clauses, you'll progress to advanced topics like complex JOINs, subqueries, and window functions. Learn to aggregate data for reporting, write efficient queries, and manage data. Finish with the confidence to query any relational database and provide critical insights for decision-making.

Python for Machine Learning

Dive into the exciting world of artificial intelligence with this hands-on course. You'll learn to implement a wide range of machine learning algorithms using Python's core libraries: scikit-learn, pandas, and NumPy. The course covers the entire ML pipeline—from data preprocessing and model training to evaluation and deployment. You'll graduate with the practical skills to build predictive models for classification, regression, and clustering, turning raw data into intelligent solutions.

Intermediate & Advance Power BI

Take your Power BI expertise to the professional level. This course is designed for users who know the basics and are ready to dive deep. You will master advanced DAX for complex calculations and time intelligence, design robust star-schema data models for optimal performance, and leverage the full power of Power Query M for sophisticated data transformation. Learn to create dynamic, user-driven reports with parameters and advanced visualization techniques, turning your dashboards into powerful analytical tools.

Snowflakes

This course provides a deep dive into Snowflake, the leading cloud data platform. You will learn to architect and utilize its powerful features for modern data analysis. Move beyond basic SQL to master Snowflake-specific concepts like virtual warehouses, zero-copy cloning, time travel, and secure data sharing. Learn to optimize storage, compute, and performance for cost-effective analytics at scale. Gain the skills to manage and analyze massive datasets in a secure, cloud-native environment.

Fastapi

Plotly Dash

This course unlocks the power of Plotly Dash to create sophisticated, interactive web applications for data visualization and analytics. You'll learn to build dynamic dashboards that respond to user input through dropdowns, sliders, and graphs. Master the integration of Plotly graphing library with Dash's component-based framework to design, style, and deploy full-stack data apps. Go beyond static reports and create powerful, custom analytical tools that bring your data to life for any audience.

AI Agent by LangChain & LangGraph

Move beyond simple chatbots to build sophisticated, autonomous AI agents. This course provides an in-depth exploration of the LangChain and LangGraph frameworks for creating stateful, reasoning AI systems. You'll learn to design agent architectures that can break down complex problems, utilize tools (like web search and APIs), and maintain memory across multi-step workflows. Understand how to implement routing, parallelism, and human-in-the-loop patterns to create reliable, production-ready AI applications that think and act strategically.