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Data Analytics

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Overview

Harness Advanced Excel to tell compelling

power insight-driven strategy on the job.

This course will teach you how to use large data sets to make critical decisions. This program was created for analysts, digital marketers, sales managers, product managers, and data novices looking to learn the essentials of data analysis. You’ll use industry tools, and Advanced Excel to analyze large real-world data sets and create datadashboards and visualizations to share your �ndings. DataAnalytics culminates in a portfolio-grade presentationof your analysis and insights to your classmates andinstructional team.

By the end of the course, you will be able to: • Use Advanced Excel to collect, clean, and analyze large data sets.

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Present data-driven insights to key stakeholders using data visualization and dashboards.

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Tell compelling stories with your data.

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What To Expect

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Engage in hands-on, project-based learning that’s designed to cover the most important data analytics concepts and tools.

As a student, you’ll:• Explore new concepts and tools through expert-led lectures

and discussions.

• Complete hands-on exercises with real-world data sets to reinforce newly learned skills.

• Receive individualized feedback and support from your instructional team.

• Apply what you’ve learned to create a portfolio project:a presentation detailing your approach to and �ndings fromsolving a real-world data problem.

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Prerequisites

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This is a beginner-friendly program with no prerequisites. If you are new to data analysis, you will have access to three hours of pre-work to help you prepare for the course, and your Admissions advisor may recommend that you take a short Excel workshop. If you already work with basic functions in Excel our curriculum will enable you to perform more powerful analyses.

The Final Project

For the Data Analytics �nal project, you will addressa data-related problem in your professional �eld or atopic of interest. You will acquire a real-world data set, then prepare, clean, and analyze it to draw meaningful conclusions.

Students share their results and each create a presentation that includes:

• A summary of the data acquisition, cleaning, and parsing stages.

• A clear visualization or dashboard that displays insights both numerically and graphically.

• A description of high-level insights and resulting actions that are relevant to key stakeholders.

Our instructors are available to validate the feasibility and manage the scope of your project.

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Welcome to Data Analytics

Get up and running with key concepts and tools you’ll use throughout the course. Explore the essentials of

through, cleaning, and transforming data — so it can be used to answer business questions.

• Describe the Data Analysis Framework and how it’s used by analysts.

• a scenario.

• Evaluate data sets and their variables.

• Determine if a data set can be used to solve a business problem.

• Use Excel’s Filter feature to spot check for problematic data.

• Handle missing data based on industry norms.• Apply conditional formatting to identify duplicates

and extreme values within a data set.•

Find and Replace feature.• Select a data cleaning strategy based on a

given scenario.

Data Analytics:An Introduction

The Value of Data and Data NarrativesUnderstand our course objectives and tools.

The Value of Data and Data Narratives• Explore the Data Analysis Framework and iterative

problem solving.

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Discuss the value and impact of data-drivendecision-making.

• Walk through a brief history of visual analytics.

• Survey common presentation strategies.• Practice applying techniques to a sample business case.

• De�ne methods for selecting appropriate visuals.Practice asking the “right” questions of our data.

What You’ll Learn

Pre-Work

Unit 1

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Unit 3

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Excel Essentials / Fundamentals

Practice using Excel to conduct basic data cleaning,aggregation, analysis, and visualization.• Tool bar navigations

Review strategies to prepare and clean a data set• Discuss data cleaning best practices.

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Sorting and Filtering Data Sorting tables Using multiple-level sorting Using custom sorting Using advanced �lter options

• Data Referencing:

ROUND functionExploring excel in-built templates

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Project:

Download a dataset of your interest on a datascience competition platform focused on Africancustomers. Clean and summarize the data with conceptsconcepts learned.

Advanced Excel:

Explore complex functions and formulae, handling text,number and date, joining data, advanced formatting,workbook protection and data analysis with pivot tables.•• Writing conditional expressions (using IF, IFERROR)

Using logical functions (AND, OR, NOT)• De�ning and using Named Ranges

(SUMPRODUCT function)•• Data validation

Manipulate data sets using VLOOKUP and HLOOKUP.•• Look up values in other tables with INDEX and MATCH.

Pivot Tables• Conditional aggregations (COUNTIF, SUMIF, COUNTIFS,

AVERAGEIFS,)••

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Date functions

Advanced conditional formattingStatistics in Excel* Survey and de�ne di�erent types of statistical analysis. Demonstrate basic statistical functions in Excel. Practice applying statistical functions in Excel. Project: Clean and prepare data sets, then visualize, summarize, and present your data.Protecting workbook and worksheets

Text functions (CONCATENATE, LEFT, MID, RIGHT,UPPER, LOWER)

Unit 2

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Build relationships between cells in Excel (writing basic formulae)

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• Data Aggregation: Learn to apply Excel aggregationcommands to our data, including: MIN, MAX, SUM, AVERAGE, COUNT, COUNTA and COUNTBLANKS, SUBTOTALS for summarizing data.)

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Data Visualization and Dashboards in Excel

You will use in-built Excel tools to design graphs andPower View reports and then start to combine theminto dynamic dashboards.

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Learn strategies for visualizing data in Excel.Identify best practices for di�erent types ofcharts for visualization)) (column, bar, line,scatter, pieCreate scatter plots, line graphsDashboards

Project: Clean and prepare data sets, then visualize,consumer purchasing data.

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Unit 4

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Why are data analytics skills relevant today?Data is an integral part of every successful business. Regardless of industry, companies need to learn how to harness data to make critical decisions. In this course, you will gain a robust and marketable skill set that can be applied to almost any industry or profession.

According to IBM, more than 2.7 million data job openings are expected in 2020, and the need for data-driven decision makers and functional analysts will be most acute. Learningdata analytics can help you advance in your current profession or explore a growing �eld.

What are the backgrounds of data analytics students?Data Analytics is our best entry-level data course for professionals looking to honeanalysis skills and evolve their careers. You’ll �nd a diverse range of students in the

classroom including:

• Data analysts who want to brush up on core techniques and formalize their skill set.

• Digital marketers, sales managers, product managers, UX researchers, and others who deal with large volumes of data on a daily basis.

• Managers who need to tell compelling, data-driven stories to business stakeholdersto in�uence decision-making.

• Career-starters looking for a practical skill set to boost their resumes.

Regardless of their backgrounds, this program attracts a community of eager learners who are interested in manipulating large data sets to solve problems.

What does my tuition cover? Here are just some of the things you can expect as a BA student:

• 21 hours* of expert instruction in performing defensible data analysis with Advanced Excel and communicating insights with visualization and dashboarding tools.

• 3 hours of self-paced pre-work to brush up on data wrangling in Excel before the course begins.

• Robust coursework, including expert-vetted lesson decks, lab materials, and more.Refresh and re�ne your knowledge throughout your professional journey as needed. • A portfolio-ready capstone project built with support from your instructor.

• Exclusive access to alumni discounts, networking events, and career workshops.

• • Connections with a professional network of instructors and peers that lasts well

beyond the course. The global BA community can help you navigate and succeed inthe data analytics �eld.

Frequently Asked Questions

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* The duration of Toronto’s Data Analytics course is 39.5 hours.

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A certi�cate of completion to showcase your new skill set on Linkedln

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network. BA’s Data Analytics course is well-regarded by many top employers, who contribute to our curriculum and use our data courses to train their own teams.

Who teaches this course?Our instructors represent the best and brightest senior analysts from top companies like Fidelity Bank, Expro, and Deloitte. They combine in-depth experience as practitioners with a passion for nurturing the next generation of talent.

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Yes! Upon passing this course, you will receive a data analytics certi�cate. Thousands ofBA alumni use their course certi�cate to demonstrate skills to employers and their Linkedln

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How does this course relate to BA’s other data programs?Data Analytics is our best entry-level course for professionals wanting to develop analysis skills that can be applied in a wide range of business contexts.

Some Data Analytics graduates who have existing programming knowledge may go on to enroll in our Data Science course and learn more complex analysis techniques involving computation.

For those committed to a career change, our full-time Data Science Immersive program provides the most direct pathway to data science and other advanced analytics roles.

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Take The Next Step

Have questions about our Data Analytics course? Our Admissions team is here to help you determine if this program is right for you and your goals. To contact arepresentative on our team, email info@blossomacademy.co

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