Data Analysis
Data-Analysis Mastery – 2 - Month Course-
đź’ˇ Master Data- Analysis & Elevate Your Career!
âś… Course Duration: 2 Months (1.5 Hours per Session)
âś… Mode: Online or In-Person
âś… Level: Beginner to Intermediate
âś… Includes: Hands-on projects, real-world case studies, and a final certification exam
What you’ll learn
📌 Mastering the fundamentals of data analysis-  explore its significance, and discover exciting career opportunities in analytics.
đź“ŚÂ Learn to clean and process data – efficiently using Excel, SQL, and Python, making large datasets manageable.
đź“ŚÂ Gain expertise in data visualization –Â by creating impactful dashboards with Tableau, Power BI, and Python to derive meaningful insights.
2-Month Module Plan
In summary this 2-month structured program is designed to transform beginners into confident data analysts. To elaborate whether you’re new to analytics, aiming to enhance decision-making through data, or exploring data-driven business strategies, this course equips you with real-world skills in analysis, visualization, and business intelligence.
Introduction to Data Analysis
Week 1Â Â – 1 hr per sessionÂ
• Overview of data analysis: The process, tools, and real-world applications.
• Types of data: Structured vs. Unstructured data.
• Importance of data analysis in decision-making
Understanding Data Types and Structure
Week 2 Â – 1 hr. per sessionÂ
- Different types of data: Quantitative vs. Qualitative, Nominal, Ordinal, Interval, and Ratio scales.
- Datasets introduction : Time series, cross-sectional, and panel data.
- Understanding data formats (CSV, Excel, SQL).
Basic Operations in Excel
Week 3Â Â – 1 hr. per sessionÂ
- Excel interface and features introduction .
- Basic functions: SUM, AVERAGE, COUNT, MIN, MAX.
- Understanding cell references: Absolute vs. relative referencing.
Advanced Excel Features
Week 4Â Â – 1 hr. per sessionÂ
- Sorting and filtering data.
- Conditional formatting: Highlighting important data.
- Introduction to Pivot Tables: Creating and customizing Pivot Tables to summarize data.
Data Visualization in Excel
Week 5Â Â – 1 hr. per sessionÂ
- Introduction to data visualization: Why visualizing data is important.
- Types of charts: Bar charts, pie charts, and line charts.
- Customizing charts: Adding titles, labels, and legends to charts.
Excel Lookup Functions
Week 6Â Â – 1 hr. per sessionÂ
- Using VLOOKUP, HLOOKUP, INDEX, and MATCH functions to search for data.
- Practical examples for lookup functions in real-world data analysis.
Handling Data in Excel
Week 7Â Â – 1 hr. per sessionÂ
- Managing and cleaning data in Excel: Removing duplicates, handling missing data.
- Data validation techniques: Ensuring data accuracy and consistency.
- Splitting and combining data using Excel’s Text-to-Columns tool.
Introduction to Python for Data Analysis
Week 8Â Â – 1 hr. per sessionÂ
- Setting up Python and Jupyter Notebook.
- Introduction to Python libraries: Pandas, NumPy.
- Basic data structures in Python: Lists, Dictionaries, and Tuples.
Working with Pandas DataFrames
Week 9Â – 1 hr. per sessionÂ
- Introduction to Pandas: What is a DataFrame?
- Loading data into a DataFrame from CSV and Excel files.
- Selecting, indexing, and filtering data in Pandas.
Introduction to Data Cleaning in Python
Week 10Â – 1 hr. per sessionÂ
- Techniques for cleaning data: Handling missing values with fillna() and dropna().
- Removing duplicates from DataFrames.
- Converting data types and handling inconsistencies in data.
Meet Your Instructor
Mohammed Okasha
Head of EngineeringÂ
Certified in Data Analysis
Gain industry-recognized certification to advance your career in Data Analysis
Why Get Certified?
Upon successful completion of the Data Analysis
