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Cohort Training

Progress through the data analytics program in a group and benefit from real-time interaction, peer support, and direct guidance from our world-class instructors. Become a Byte Analytics Certified Data Analyst (BACDA).

Next Cohort Starts Sat, 11 Jan 2025
Training
Cohorts
What you will learn...
₦200,000
You can pay in three installments!
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Microsoft Excel

Learn Excel functionalities for data analysis and create interactive dashboards.

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Introduction to Data Analysis with Excel

Dive into the fundamentals of data analysis using Excel. We explore the essence of data analysis, along with an introduction to the Excel.

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Excel Basics

We start with Excel basics, aggregation functions, text functions, and date functions, along with exploring conditional formatting and logical functions. Additionally, we'll discuss conditional functions, data validation, IF statements, Excel tables, and lookup functions.

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Pivots and Dashboarding

We focus on Pivot Tables and dashboarding in Excel. We'll learn how to create Pivot Tables, utilize pivot charts effectively, and master the art of dashboard creation to visualize data efficiently.

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Data Modelling

A deeper dive into Data Modeling in Excel. You'll learn how to structure and model data, establishing relationships between multiple tables or entities to facilitate efficient analysis and insights generation. In this module, you’ll learn how to use Excel's tools to perform what-if analysis, allowing you to explore various scenarios and assess their potential impacts on outcomes.

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Data Cleaning

In the Data Cleaning module, we explore techniques for enhancing data quality. You'll discover how to handle null values. address data inconsistencies and rectify inaccuracies.

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What-if Analysis

In this module, you learn how to use Excel's tools to perform what-if analysis, allowing you to explore various scenarios and assess their potential impacts on outcomes.

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SQL

Master the highly sort after skill of retrieving, analyzing, manipulating, modifying data in a database.

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Data Definition & Manipulation

Get familiar with Data Definition Language (DDL) commands such as CREATE, ALTER, DROP, and managing indexes. Dive into Data Manipulation Language (DML) with INSERT, UPDATE, and DELETE commands to modify your data efficiently.

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Query Filtering, Sorting, & Aggregation

Filter and sort data using conditions like WHERE, AND, OR, and ORDER BY, while leveraging aggregation functions like SUM, AVG, COUNT, MIN, and MAX for powerful data analysis.

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Joins, Subqueries, & Views

Learn to combine datasets with INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN. Utilize subqueries and correlated subqueries to enhance data filtering. Explore views for simplifying complex queries.

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Advanced SQL Queries & Optimization

Delve into advanced queries using Window Functions, Common Table Expressions (CTEs), and techniques for query optimization to ensure high performance.

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Database Design & Integrity

Build strong database structures with Entity-Relationship Diagrams (ERDs), and normalization techniques, and enforce data integrity with Primary and Foreign Keys.

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Data Import/Export & Optimization

Effortlessly import and export data in formats like CSV and JSON, and optimize queries for enhanced performance and faster results.

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Power BI

Gain Power BI data analysis and visualization proficiency to create stunning interactive dashboards for enhanced business decision intelligence.

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Introduction to Data Analysis with Power BI

In this session, we'll explore the foundational principles of data analysis using Power BI, a powerful tool for visualizing and interpreting data. Also, we would explore the Power BI ecosystem.

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Data Presentation and Transformation

In the Data Preparation and Transformation phase, we utilize Power Query Editor within Power BI to clean and transform our data.: Getting data from various sources into Power BI is a fundamental step in the data analysis process. Sources such as spreadsheets, databases, web sources, and so on.

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Data Visualization

In the Data Visualization phase, we explore the diverse range of visualizations available in Power Bl and understand why specific visuals are employed to convey insights effectively.

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Data Modeling

In the Data Cleaning module, we'll explore techniques for enhancing data quality. You'll discover how to handle null values, address data inconsistencies, and rectify inaccuracies.

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DAX (Data Analysis Expressions)

In this module, you'll learn how to use Excel's tools to perform what-if analysis, allowing you to explore various scenarios and assess their potential impacts on outcomes.

Contact us now to get started with our cohort training.