Phone: +234 815 75 50744 Email: info@softwareacademy.ng Hours: Mon-Fri: 9am – 5pm
Address: No 37, Collage Road, Ogba Lagos

Data Analytics

Learn Data Analytics and work with industry tools and techniques such as Excel, SQL, Power BI.  Create visualizations and apply them in real life scenario in other to use them to make decisions that are most impactful at improving business metrics.

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Using Tools such as Excel, SQL, Power BI,  for data analysis

 

What Will I Learn?

EXCEL BASICS
  1. Rows, Columns, Cells
  2. Scroll Bar
  3. Tabs
  4. Ribbon
  5. Quick Access Toolbar
  6. Formular bar
  7. Zoom
  8. Sheets
  9. Filename
COPYING & FILLING
  1. Copy
  2. Paste
  3. Paste Special
  4. Copying Cells
  5. Copying To Different Worksheets
  6. Using Fill For Quick Copying
FORMULAE
  1. Add/Subtract/Multiply/
    Divide
  2. BODMAS
EXCEL FORMATTING
  1. Excel Formatting
  2. Excel Format Colors
  3. Excel Format Fonts
  4. Excel Format Borders
  5. Excel Format Numbers
  6. Excel Format Grids
  7. Excel Format Settings
FILL SERIES
  1. Filling a series with formatting
  2. Filling a series without formatting
  3. Filling a weekdays
  4. Fill Days
ADVANCED FILL
  1. Fill Drag Numbers
  2. Fill Drag Months
  3. Fill Drag days
  4. Fill Down, Right, Left Up
  5. Flash Fill
CELL REFERRENCE
  1. Relative Reference
  2. Absolute Reference
  3. Mixed Reference
TEXT FUNCTIONS
  1. TRIM
  2. PROPER
  3. UPPER
  4. LOWER
  5. LEN
  6. LEFT
  7. RIGHT
  8. MID
  9. CONCATENATE
  10. CONCAT
  11. FIND
  12. SEARCH
  13. REPLACE
  14. SUBSTITUTE
MATH & TRIG FUNCTIONS
  1. SUMPRODUCT
  2. MROUND
  3. FLOOR
  4. CEILING
  5. MOD
  6. QUOTIENT
LOGICAL FUNCTIONS
  1. IF
  2. IFERROR
  3. NESTED IF
  4. AND
  5. OR
  6. NOT
CONDITIONAL FUNCTIONS
  1. SUM
  2. SUMIF
  3. SUMIFS
  4. AVERAGE
  5. AVERAGEIF
  6. AVERAGEIFS
  7. COUNT
  8. COUNTIF
  9. COUNTI
COUNT FUNCTIONS
  1. COUNTA
  2. COUNTBLANK
DATA SORTING & FILTERING
  1. Basic Sorting
  2. Filtering Data
  3. Advance Fitering
  4. Basic Table
  5. Advance Table
DATA VALIDATION
  1. Whole Numbers
  2. Text Length
  3. Date
  4. Drop Down List
  5. Input Messages
  6. Error Messages
  7. Stop
  8. Warning
  9. Information
  10. Circle Invalid Data
  11. Clear Validation Circles
CONDITIONAL FORMATTING
  1. Highlight Cell Rules
  2. Top Bottom Rules
  3. Data Bars
  4. Color Scales
  5. Icon Sets
  6. Clear Rules
DATE FUNCTIONS
  1. TODAY()
  2. NOW()
  3. DAY()
  4. MONTH()
  5. YEAR()
  6. DATE()
  7. EDATE()
  8. NETWORKDAYS()
  9. NETWORKDAYS.INTL()
  10. DATEDIF()
LOOKUP
  1. VLOOKUP
  2. VLOOKIP Approximate Match
  3. VLookup rules
  4. H-LOOKUP
  5. LOOKUP FUNCTION
  6. LOOKUP FULL RECORD
  7. INDEX FUNCTION
  8. MATCH FUNCTION
PIVOT TABLE
  1. Columns
  2. Rows
  3. Filters
  4. Values
  5. Pivot table slice
  6. Pivot table timeline
CHART
  1. Column Chart
  2. Pie Chart
  3. Bar Chart
  4. Line Chart
  5. XY Scatter Chart
  6. Spark Line Chart
  7. Pivot Chart

Training Session

Weekend
Time 10 a.m. - 5 p.m.
Date Aug. 12, 2023 - Sept. 9, 2023
Days Saturdays
Online Prize ₦90,000.0
Physical Prize ₦100,000.0

Address

No 37, Collage Road, Ogba Lagos

Curriculum

Excel: Microsoft Excel is a popular spreadsheet software used for data analysis and manipulation. It provides a range of functions and formulas for calculations, sorting and filtering capabilities, pivot tables, and charting options. Excel is known for its user-friendly interface and is widely used for basic data analysis tasks.

SQL: Structured Query Language (SQL) is a programming language used for managing and manipulating relational databases. It allows you to retrieve data from databases, perform calculations, apply filters and aggregations, and modify the structure of the data. SQL is essential for working with large datasets and performing complex queries.

Power BI: Power BI is a business intelligence tool developed by Microsoft. It allows you to connect to various data sources, import and transform data, create interactive visualizations, and share insights with others. Power BI provides a range of features like drag-and-drop functionality, data modeling capabilities, and extensive visualization options to create powerful and dynamic dashboards and reports.

Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small- and large-scale projects.

Training Requirement

  • A knowledge of mathematics and statistics are requirements for this training
  • No programing experience is required in this training, as this training can be taken by someone with no coding experience
  • We expect participant to have basic computer knowledge
  • Students are expected to come for the training with a laptop that has Wireless LAN, minimum 2Gb RAM, minimum free space on hard disk should be 50Gb minimum Dual Core CPU and USB port.
  • All students are expected to have PDF reader and Microsoft office installed in their system. Any other software needed will be provided by us.

Our Teachers

Benedict Uwazie
Founder/Teacher
Bola Sulaimon
Software Developer/Teacher
Ade Muyiwa
Data Scientist/Teacher
Busayo Ogungbure
Software Developer/Teacher

Partnering with top brands

Tryrevault
None
Alabian
Ambitech

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