Data Analysis Private Class
- Description
- Curriculum
- Reviews
INTRODUCTION TO DATA ANALYSIS
Data analysis refer to the process of inspecting, cleaning and modelling data with the goal of extracting useful information and making informed decisions.
It involves applying statistical and mathematical techniques to uncover patterns, trends, and insight within data set.
1. EXCEL
Introduction to Excel for Data Analytics:
Overview of Excel’s capabilities for data analysis
Introduction to Excel’s interface: ribbons, worksheets, cells, rows
columns, etc.
Differences between Excel desktop version and Excel Online (web version)
Data Import and Preparation:
Importing data from various sources: CSV, text files, databases, web queries, etc.
Data cleaning and manipulation techniques: sorting, filtering, removing duplicates,
fill, split, transpose, table, drop-down list, etc.
Data types and formatting in Excel
Data validation and error handling
Data Analysis Techniques in Excel:
Basic formulas and functions: SUM, AVERAGE, COUNT, IF, VLOOKUP, etc.
Advanced functions for data analysis: SUMIFS, COUNTIFS, etc.
PivotTables and Pivot Charts for summarizing and analyzing data
Advanced data analysis tools: Goal Seek, What-If Analysis, etc.
Data Visualization in Excel:
Creating basic charts: column, bar, line, pie, scatter, etc.
Formatting and customizing charts for better visualization
Creating interactive dashboards with slicers and timelines
Advanced Data Analysis Features:
Data modeling with Excel Tables and Relationships
Using Power Query for data transformation and cleaning
Introduction to Power Pivot for data modeling and DAX calculations
Advanced charting techniques: combination charts, waterfall charts, etc.
Statistical Analysis in Excel:
Descriptive statistics: mean, median, mode, standard deviation, etc.
Hypothesis testing: t-tests, ANOVA, etc.
Regression analysis and correlation
Forecasting techniques: moving averages, etc.
Real-world Projects and Case Studies:
Analyzing real-world datasets
Solving business problems with Excel
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1Class One; Text (Introduction to Data Analysis)3 Hours
Data analysis is the process of identifying, cleaning, transforming, and modeling data to discover meaningful and useful information. The data is then crafted into a story through reports for analysis to support the critical decision-making process.
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2Class Two; Text(Introduction basice excel formula and functions)3 Hours
Formulae and Functions
Formula are users made (it is defined by a user’s without excel instructions) When a user uses any kind of logic to get an answer is called formula.
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3Class Three; Text (LOOK UP FUNCTIONS)Text lesson
The term ‘Look up’ as used in the context, means to look up (search) from a list.
There are two main LOOKUP functions that can be used within Excel. These are:
HLOOKUP
VLOOKUP
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4Class Four; Text (Conditional formatting, Sort, Filter, Table, Pivot table and Chart)3 Hours
Conditional formatting makes it easy to highlight certain values or make particular cells easy to identify. This changes the appearance of a cell range based on a condition (or criteria). You can use conditional formatting to highlight cells that contain values which meet a certain condition.

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Data Analysis Private Class
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What is Prerequisite coursesA prerequisite is a specific course that you must complete before you can take another course at the next grade level.