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Friday, April 3, 2026

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Microsoft Power Automate Tutorial
CCYI GLOBAL Office Productivity
Microsoft Power Automate Tutorial (Beginner → Practical)
Learn workflow automation, process automation, triggers, and practical Microsoft Power Automate use cases.
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Basic Understanding of Microsoft Excel
CCYI GLOBAL Office Productivity
Basic Understanding of Microsoft Excel (For Beginners)
Start with worksheets, formulas, formatting, sorting, and beginner spreadsheet productivity.
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Excel Tutorial Pivot Tables Macros and VBA
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Excel Tutorial: Pivot Tables, Macros, and VBA
Advance your Excel skills with automation, reporting, data summaries, and VBA concepts.
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Basic Understanding of Web Development
CCYI GLOBAL ACADEMY Web Development
Basic Understanding of Web Development
A simple introduction to how websites work, frontend/backend concepts, and tools beginners need.
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Basic Understanding of HTML
CCYI GLOBAL ACADEMY Web Development
Basic Understanding of HTML (For Beginners)
Learn the structure of web pages, elements, tags, forms, headings, links, and page layouts.
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Basic Understanding of CSS
CCYI GLOBAL ACADEMY Web Development
Basic Understanding of CSS / CSS INTRODUCTION
Understand styling, colors, spacing, layouts, selectors, and how CSS transforms plain HTML pages.
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Basic Understanding of JavaScript
CCYI GLOBAL ACADEMY Web Development
Basic Understanding of JavaScript (For Beginners)
Learn variables, functions, DOM basics, events, conditions, loops, and website interactivity.
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Basic Understanding of API
CCYI GLOBAL ACADEMY Web Development
Basic Understanding of API (For Beginners)
Understand how applications communicate, exchange data, and connect services through APIs.
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Basic Understanding of Django
CCYI GLOBAL ACADEMY Web Development
Basic Understanding of Django (For Beginners)
A beginner introduction to Python-powered web applications using the Django framework.
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Basic Understanding of Flask
CCYI GLOBAL ACADEMY Web Development
Basic Understanding of Flask (For Beginners)
Discover lightweight Python web development and build simple apps faster with Flask. :contentReference[oaicite:1]{index=1}
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Basic Understanding of Power BI
CCYI GLOBAL ACADEMY Data Analytics
Basic Understanding of Power BI (For Beginners)
Learn dashboard thinking, reports, visuals, data modeling, and beginner business intelligence workflows.
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Basic Understanding of Pandas
CCYI GLOBAL ACADEMY Data Analytics
Basic Understanding of Pandas (For Beginners)
Handle tables, clean data, load files, and perform beginner data analysis with Pandas.
₦0,000
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Basic Understanding of NumPy
CCYI GLOBAL ACADEMYL Data Analytics
Basic Understanding of NumPy (For Beginners)
Understand arrays, numerical computing, and fast calculations for data and scientific work.
₦0,000
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Basic Understanding of Tableau
CCYI GLOBAL ACADEMY Data Analytics
Basic Understanding of Tableau (For Beginners)
Build beginner dashboards and data visualizations using Tableau concepts and workflow basics.
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Basic Understanding of R
CCYI GLOBAL ACADEMY Data Analytics
Basic Understanding of R (For Beginners)
Get started with R programming for statistics, analytics, scripting, and data exploration.
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How To Use Jupyter Notebook For Data Analysis
CCYI GLOBAL ACADEMY Data Analytics
How To Use Jupyter NoteBook For Data Analysis (Beginner Tutorial)
Use notebooks for Python practice, analysis workflows, code execution, and markdown explanations.
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Basic Understanding of Python
CCYI GLOBAL ACADEMY Python & Automation
Basic Understanding of Python (For Beginners)
Learn syntax, variables, functions, logic, loops, and real beginner programming foundations.
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How To Create A Bot
CCYI GLOBAL ACADEMY Python & Automation
HOW TO CREATE A BOT
An introduction to bot concepts, automation logic, and practical beginner bot building ideas.
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3 Python Automation Projects for Beginners
CCYI GLOBAL ACADEMY Python & Automation
3 PYTHON AUTOMATION PROJECTS FOR BEGINNERS
Practice practical automation with beginner-friendly projects that build real confidence.
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Automate with Python Full Course for Beginners
CCYI GLOBAL ACADEMY Python & Automation
Automate with Python – Full Course for Beginners
Discover scripts, repetitive task automation, beginner Python workflows, and useful mini projects.
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Basic Understanding of MySQL
CCYI GLOBAL ACADEMYL Database & SQL
Basic Understanding of MySQL (For Beginners)
Start learning relational databases, tables, records, queries, and database concepts with MySQL.
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Learn SQL Beginner to Advanced in Under 4 Hours
CCYI GLOBAL ACADEMY Database & SQL
Learn SQL Beginner to Advanced in Under 4 Hours
A faster SQL journey covering beginner to more advanced database querying concepts. The blog lists this among older posts. :contentReference[oaicite:2]{index=2}
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Learn 12 Basic SQL Concepts in 15 Minutes
CCYI GLOBAL ACADEMY Database & SQL
Learn 12 Basic SQL Concepts in 15 Minutes
Quickly grasp essential SQL ideas and project-focused beginner query thinking.
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Remote Dictionary Server in-memory data store
CCYI GLOBAL ACADEMY Database & SQL
Remote Dictionary Server in-memory data store
Explore beginner concepts around in-memory data storage and fast-access data systems.
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Master AI Turn Months of Work Into Minutes
CCYI GLOBAL ACADEMY AI & Tech Trends
MASTER AI: TURN MONTHS OF WORK INTO MINUTES
Use AI tools to increase productivity, compress workflows, and speed up content or office tasks.
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Basic Understanding of Internet of Things
CCYI GLOBAL ACADEMY AI & Tech Trends
Basic Understanding of Internet of Things (IoT) – For Beginners
Learn connected devices, sensors, smart systems, and beginner IoT thinking.
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10 Incredible New Technologies That Have Changed The World
CCYI GLOBAL ACADEMY AI & Tech Trends
10 Incredible New Technologies That Have Changed The World
A broader technology awareness course useful for beginners and digital literacy audiences.
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25 technologies that have changed the world
CCYI GLOBAL ACADEMY AI & Tech Trends
25 technologies that have changed the world
Explore foundational technology changes and how innovation shapes society and work.
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The 7 Main Ways Technology Impacts Your Daily Life
CCYI GLOBAL ACADEMY AI & Tech Trends
The 7 Main Ways Technology Impacts Your Daily Life
A practical digital awareness course for students, beginners, and general audiences.
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Technology In Our Life Today And How It Has Changed
CCYI GLOBAL ACADEMY AI & Tech Trends
Technology In Our Life Today And How It Has Changed
A simple tech awareness training focused on modern life, transformation, and relevance.
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Data Is The New Oil
CCYI GLOBAL ACADEMY AI & Tech Trends
Data Is The New Oil -- And That's A Good Thing
Understand the value of data, analytics culture, and why data matters in modern work.
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Data was, Analytics is, the New Oil
CCYI GLOBAL ACADEMY Data Analytics
Data was, Analytics is, the New Oil
A practical thought-leadership training around analytics relevance and insight-driven work.
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Technology Is The New Oil
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TECHNOLOGY IS THE NEW OIL
A broad technology awareness teaching centered on digital opportunity and modern relevance.
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    Saturday, March 28, 2026

    Basic Understanding of Pandas (For Beginners)

     https://www.ionos.com/digitalguide/fileadmin/_processed_/e/9/csm_pandas-dataframe-structure_0ab3bff2f5.webp

    1. What is Pandas?

    Pandas is a Python library used for data analysis and manipulation.

    👉 In simple terms:
    Pandas = Excel inside Python (but more powerful)

    2. Why Learn Pandas?

    Pandas helps you:

    • Work with large datasets
    • Clean messy data
    • Analyze information quickly
    • Perform calculations easily
    • Prepare data for reports or visualization

    3. Installing Pandas

    First install Pandas:

    pip install pandas

    Then import it:

    import pandas as pd

    👉 pd is just a shortcut name.

    4. Key Data Structures in Pandas

    a. Series (1D Data)

    import pandas as pd

    data = pd.Series([10, 20, 30])
    print(data)

    👉 Like a single column in Excel.

    b. DataFrame (2D Data)

    data = {
        "Name": ["John", "Mary"],
        "Age": [25, 30]
    }

    df = pd.DataFrame(data)
    print(df)

    👉 Like a table (rows and columns).

    5. What a DataFrame Looks Like


    6. Reading Data (CSV File)

    df = pd.read_csv("data.csv")
    print(df)

    👉 Loads data from a file (like Excel).

    7. Viewing Data

    df.head()   # First 5 rows
    df.tail()   # Last 5 rows
    df.info()   # Structure of data
    df.describe()  # Statistics

    8. Selecting Data

    Select a Column

    df["Name"]

    Select Multiple Columns

    df[["Name", "Age"]]

    9. Filtering Data

    df[df["Age"] > 25]

    👉 Shows only rows where age is greater than 25.

    10. Adding a New Column

    df["Salary"] = [50000, 60000]

    11. Basic Operations

    df["Age"].mean()   # Average
    df["Age"].max()    # Maximum
    df["Age"].min()    # Minimum

    12. Handling Missing Data

    df.isnull()        # Check missing values
    df.dropna()        # Remove missing values
    df.fillna(0)       # Replace missing values

    13. Sorting Data

    df.sort_values("Age")

    14. Real-Life Uses of Pandas



    Students can use Pandas for:

    • Analyzing Excel data
    • Business reports
    • Financial tracking
    • Student result analysis
    • Research and projects

    15. Simple Practical Example

    import pandas as pd

    data = {
        "Name": ["Alice", "Bob", "Charlie"],
        "Score": [80, 90, 75]
    }

    df = pd.DataFrame(data)

    # Show students who scored above 80
    result = df[df["Score"] > 80]

    print(result)

    16. Pandas vs Excel

    FeatureExcelPandas
    Ease of useEasyRequires coding
    Large dataLimitedHandles large data
    AutomationLimitedVery powerful
    SpeedModerateFast

    17. Simple Summary

    👉 Pandas is:

    • A tool for working with data
    • Like Excel but more powerful
    • Essential for data analysis

    Power Teaching Line (for your class)

    👉 “If Excel helps you see data, Pandas helps you understand and control it at scale.”

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    Basic Understanding of NumPy (For Beginners)

     https://miro.medium.com/v2/resize%3Afit%3A1400/1%2AuHk03mQjMX1-sJdcWN5jBg.png

    1. What is NumPy?

    NumPy stands for Numerical Python.

    👉 It is a Python library used for:

    • Working with numbers
    • Performing mathematical operations
    • Handling large datasets efficiently

    Simple Meaning:
    👉 NumPy = Faster and easier way to work with numbers in Python

    2. Why Use NumPy?

    NumPy is:

    • Faster than normal Python lists ⚡
    • Used in data science and AI
    • Efficient for calculations
    • Easy to use for numerical operations

    3. Installing NumPy

    Install using:

    pip install numpy

    4. Importing NumPy

    import numpy as np

    👉 np is just a shortcut name.

    5. NumPy Arrays (Core Concept)

    👉 NumPy works with arrays (like lists but more powerful).

    import numpy as np

    arr = np.array([1, 2, 3, 4])
    print(arr)

    6. Difference: List vs NumPy Array

    # Python list
    list1 = [1, 2, 3]

    # NumPy array
    arr1 = np.array([1, 2, 3])

    👉 NumPy arrays are:

    • Faster
    • More efficient
    • Better for calculations

    7. Types of Arrays

    1D Array

    arr = np.array([1, 2, 3])

    2D Array (Matrix)

    arr = np.array([[1, 2], [3, 4]])

    8. Basic Operations

    Addition

    arr = np.array([1, 2, 3])
    print(arr + 2)

    👉 Output: [3, 4, 5]

    Multiplication

    print(arr * 2)

    👉 Output: [2, 4, 6]

    9. Useful NumPy Functions

    Create Zeros

    np.zeros((2, 2))

    Create Ones

    np.ones((3, 3))

    Range of Numbers

    np.arange(0, 10)

    10. Indexing and Accessing Elements

    arr = np.array([10, 20, 30])

    print(arr[0])  # Output: 10

    11. Shape of Array

    arr = np.array([[1, 2], [3, 4]])

    print(arr.shape)

    👉 Output: (2, 2) → 2 rows, 2 columns

    12. Simple Practical Example

    import numpy as np

    scores = np.array([50, 60, 70, 80])

    average = np.mean(scores)

    print("Average score:", average)

    13. Real-Life Uses of NumPy


    Students can use NumPy for:

    • Data analysis
    • Scientific calculations
    • Machine learning
    • AI projects
    • Financial calculations

    14. NumPy in the Real World

    NumPy is used with:

    • Pandas (data analysis)
    • Matplotlib (visualization)
    • Machine learning tools

    15. Simple Summary

    👉 NumPy is:

    • A powerful math tool in Python
    • Used for fast calculations
    • Important for data science and AI

    Power Teaching Line (for your class)

    👉 “If Python is the brain, NumPy is the calculator that makes it powerful.”

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