Data Analytics

Young businesswoman working with statistics charts on computer monitor, analyzing company data on paperwork. Using online information to create research report before deadline, at night after hours.

Description

This course is designed to equip our students with the essential tools and knowledge to navigate and excel in the dynamic field of Data Analytics.

In our increasingly interconnected world, data has become a cornerstone of decision-making across industries. Whether it’s optimizing business operations, understanding customer behavior, or driving innovation, the ability to harness and interpret data is paramount. Our Data Analytics course is tailored to meet this demand, offering a comprehensive curriculum that blends theoretical foundations with practical, hands-on experience.

Throughout this course, students will delve into key concepts such as data collection, processing, analysis, and visualization. They will learn to leverage cutting-edge tools and techniques to extract meaningful insights from complex datasets. Practical projects and case studies will provide invaluable real-world experience, preparing our students to tackle the challenges of today’s data-driven economy.

At Almond Careers, we are committed to fostering a learning environment that not only meets but exceeds industry standards. Our team of experienced instructors bring a wealth of expertise in Data Analytics, ensuring our students receive top-notch education and mentorship throughout their journey.

We believe that by offering this Data Analytics course, we are not only preparing our students for successful careers but also empowering them to make a positive impact in their respective fields.

Please see below a breakdown of the course curriculum

Module 1

Introduction to Data Analytics and Excel Basics

  • Introduction to data analytics
  • Understanding data sources and the importance of Excel in
    analytics.
  • Excel interface, data entry, formatting cells, basic formulas (SUM,
    AVERAGE), and simple charts.
Module 2

Advanced Excel for Data Analysis

  • Advanced formulas (VLOOKUP, IF, INDEX/MATCH),
  • Data cleaning, and text functions.
  • PivotTables, conditional formatting, and 
  • Dashboard creation and advanced charting in Excel.
Module 3

Introduction to Power BI and Data Transformation

  • Introduction to Power BI
  • Data loading
  • Power Bi Database relationships
  • Data Transformations
Module 4

Data Visualization and Dashboard with Power BI

  • Basic visualizations.
  • Advanced visualizations
  • DAX (Data Analysis Expressions)
  • Dashboard creation and Storytelling in Power BI
Module 5

Introduction to SQL for Analytics

  • Introduction to SQL
  • SQL commands
  • Querying databases
  • Filtering data
  • Joins
  • Aggregating data (GROUP BY)
  • Subqueries
Module 6

Data Manipulation with SQL

  • Data manipulation with INSERT, UPDATE, DELETE
  • Advanced SQL function
  • Transactions, and optimization techniques
  • Database design principles, normalization, and indexing
  • Weekly Take-Home Task
  • Employee Performance Analysis
Module 7

Python Basics

  • Introduction to Python programming Language
  • Introduction To jupyter notebook and Python Basic Command
  • Learning Python syntax and error
Module 8

Data Manipulation and Visualization with Python

  • Use Of Pandas for data Manipulations to read and import csv files 
  • Use Of Matplotlib for Creating Charts for visualization
  • Use of Seaborn for Charts for visualization
Title

Data Analytics

Type

UK Work Experience Program

Location

Online

Duration

8 online Classes, 10 weeks of work experience,
40 extra online classes, 15 contact hours with the Program manager, CV workshop, Job interview Prep, UK Job reference, Certificate.

Course Fee

UK: £1539 VAT Inc.

Discounted Course Fee

UK: £599VAT Inc.

Pounds Payment Details

Starling Bank
Account Number: 39165854
Sort Code: 60-83-71
Account Name: Almond Media Ltd
Fee: £599 (you can pay in two
installments £300 now and £299,
in 4weeks)

Naira Payment Details

Almond Careers Limited
Account Number: 1024181483
Bank: UBA