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About the Course
What You Will Learn:
Introduction to Data Analysis: Understand the basics of data analysis and its significance.
Critical Thinking Methodologies: Develop critical thinking skills and methodologies for data analysis.
Problem-Solving Frameworks: Learn various frameworks to tackle data-related problems.
Descriptive Statistics Fundamentals: Master the essentials of descriptive statistics.
Advanced Statistical Techniques: Dive into advanced statistical methods for deeper insights.
Introduction to Python Programming: Get started with Python programming for data analysis.
Data Analysis Process: Follow a structured process for data cleaning, exploration, and visualization.
Reporting Using PowerBI: Create dynamic reports and dashboards with PowerBI.
Exploratory Data Analysis and Visualization Using Excel & Python: Use Excel and Python for exploratory data analysis and visualization.
Course Description:
This comprehensive course will equip you with the fundamental techniques of data analysis using Microsoft Excel, Python programming, and PowerBI. You will learn to clean, explore, and visualize data to gain powerful insights and improve decision-making processes.
Through hands-on exercises, you will process data using various techniques and statistical models in both Excel and Python. By leveraging libraries like Pandas, Numpy, and Matplotlib, you'll conduct in-depth statistical analysis and derive meaningful insights. Additionally, you'll enhance your reporting capabilities with visually appealing graphs and dashboards using PowerBI.
Course Content:
Section 1: Introduction to Data Analysis
Learn the basics of data analysis and its importance in various fields.
Section 2: Problem-Solving Frameworks & Critical Thinking
Develop critical thinking skills and learn frameworks for effective problem-solving.
Section 3: Statistics Fundamentals & Graphs
Understand descriptive statistics and learn to create informative graphs.
Section 4: Advanced Statistics
Explore advanced statistical techniques for comprehensive data analysis.
Section 5: Introduction to Python Programming
Get started with Python programming and its applications in data analysis.
Section 6: Data Analysis Process
Follow a structured process for data analysis, from data cleaning to visualization.
Section 7: Data Visualization & Reporting Using PowerBI
Learn to create dynamic reports and dashboards using PowerBI.
By the end of this bootcamp you should submit 4 projects , 1 Excel , 1 Powerbi and 2 Python Based Projects
Who This Course is For:
This course is ideal for:
Data Analysts: Enhance your data processing and statistical analysis skills.
Business Analysts: Gain advanced techniques for data visualization and reporting.
Students and Job Seekers: Build essential data analysis skills to boost your employability.
Anyone Interested in Data Science: Learn the fundamentals and advanced techniques of data analysis using Excel, Python, and PowerBI.
Certification:
Upon completing this course, you will receive three certificates:
A certificate from Assaal Academy, recognizing your proficiency in Data Analysis.
A certificate from the Egyptian Board Academy, validating your expertise and skills gained from the course.(Extra Fees)
( Optional ) A prestigious certificate from the American Institute of Science and Technology, highlighting your advanced skills and recognized internationally. This certification will enhance your professional credibility and open up new career opportunities globally. ( Ask for the Fees )
Disclaimer: To receive certification, a minimum attendance of 80% is required, along with the full completion of 4 projects within the specified time frame.
Prerequisites:
Basic to advanced Excel knowledge.
2 years of basic working experience.
Basic English language skills.
Basic understanding of mathematical operations.
No prior knowledge of programming is needed.
A working PC or laptop (no mobile devices allowed).