{"id":494,"date":"2022-01-09T19:13:56","date_gmt":"2022-01-09T19:13:56","guid":{"rendered":"https:\/\/arravo.co\/Academy\/lms\/?post_type=course&p=494"},"modified":"2022-01-31T12:11:26","modified_gmt":"2022-01-31T12:11:26","slug":"for-business-data-analysis","status":"publish","type":"course","link":"https:\/\/arravo.co\/Academy\/lms\/course\/for-business-data-analysis\/","title":{"rendered":"For Business & Data Analysis"},"content":{"rendered":"\t\t
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Live Training Sessions To Learn Business & Data Analysis From the Arravo Academy<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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More than ever before, companies are relying on business and data analysis to make business decisions. The Business & Data Analysis course equips you with the skills needed to be the bridge between the product owners and stakeholders using modern tools to visualize data and make decisions from them. Without business and data analysis, new industry trends in Tech and product development would have stay undiscovered. In order to determine business goals, more and more companies are looking for analysts to fill in the gaps.\u00a0 Business & Data Analysis are two of the fastest-growing and disciplines in the tech industry.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Why Opt For The Business\/Data Analysis Course?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– Access to a structured learning approach<\/p>

– Learn the most popular Business & Data Analysis tools<\/p>

– The opportunity to work in just about any industry<\/p>

– Learn to apply theoretical concepts to business problems<\/p>

– Gain problem solving skills<\/p>

– Ability to Make a Difference<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Course Outline<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Business Analysis<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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a. Business Analysis Fundamentals<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– The Basics
– Software Development Lifecycles
– Initiating A Project
– Requirement Basics
– Requirement Elicitation, Analysis, Specification & Approval
– Section Review<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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b. Agile Fundamentals: Scrum, Kanban, and Scrumban<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– Understanding Agile
– Scrum Methodology
– Estimating in Agile
– Kanban Methodology
– Scrumban Methodology
– Section Review\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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c. Identifying and Defining the Problem with Business Analysis<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– Problem Identification
– Problem Identification Techniques
– Making Things Practical + Root Cause Analysis
– Determining Value
– Project Proposal + Gaining Approval
– Section\/Case study Review<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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d. Conduct A Strategy Analysis<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– Project Basics
– Analyze the Current State
– Define the Future State
– Assess Risks
– Determine a Strategy
– Create a Business Case
– Sample Project Case Study
– Section\/Case study Review<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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e. Plan The Project<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– Initiate the Project Plan
– Create a Requirements Management Plan
– Define the Project Plan Details
– Conduct Stakeholder Analysis & Engagement
– Set Performance Measures
– Section\/Case study Review<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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f. Understand and Elicit Requirements<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– Understand and Elicit Requirements
– Requirements, Digging Deeper
– The Building Blocks of Requirement Elicitation
– Stakeholder Perspective
– Requirement Elicitation Process
– Requirement Elicitation Techniques
– Requirement Elicitation: Document Analysis
– Observation, Brainstorming, Surveys, Interviews & Requirement Workshop
– Section\/Case study Review<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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g. Agile Business Analysis in Scrum<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– Introduction to Agile Business Analysis
– Intro to Agile
– Horizons of Analysis
– Agile BA techniques – Strategy Horizon
– Agile BA techniques – Initiative Horizon
– Agile BA techniques – Delivery Horizon
– Facilitation skills of a BA
– Section\/Case study Review\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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h. User Story Master Class<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– Introducing User Stories
– Acceptance Criteria
– Write Better Stories with INVEST
– Non-User Stories
– Estimating
– Splitting User Stories
– Common Challenges
– User Story Mapping
– User Story – Final Activities
– Section\/Case study Review\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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i. Essential Modeling Skills & Techniques<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– Process Flowcharts
– SWOT Analysis
– Use Cases
– User Stories
– Stakeholder Maps
– RACI Matrices
– Scoring Matrices
– Organizational Charts
– Section\/Case study Review<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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j. Essential Process Flowcharts<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– Process Flowcharts
– Breaking Down the Process Flowchart: The Basics
– Process Mapping Tool: Draw.io or Microsoft Visio
– Beyond the Basics: Additional Symbols
– Creating a Swimlane Process Flowchart
– Enhance your Flowchart with Levels
– Section\/Case study Review\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Module 2<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Data Analysis<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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1. Intro to Data and Data Science<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– The Different Data Science Fields
– The Relationship between Different Fields
– Purpose of Each Data Science Field
– Common Data Science Techniques
– Common Data Science Tools
– Data Science Career Paths
– Dispelling Common Misconceptions\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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2. Statistics - Population and Sample<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– Descriptive Statistics
– Inferential Statistics Fundamentals
– Inferential Statistics: Confidence Intervals
– Hypothesis Testing\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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3. Relational Database Theory & Introduction to SQL <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– Install and get to know MySQL
– Best SQL Practices
– Loading Databases
– Practical Application of the SQL SELECT Statement
– Expanding on MySQL Aggregate Functions
– SQL JOINs
– SQL Subqueries
– Stored Routines
– The CASE Statement\u00a0\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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4. Introduction to Tableau<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– Tableau functionalities
– Creating Dashboards
– Using Joins
– Blending data
– Interactive Filters
– Combining SQL and Tableau<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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5. Introduction to Python Programming<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– Python Variables & data Types
– Python Syntax Fundamentals
– Other Python Operators
– Conditional Statements
– Functions
– Python Sequences
– Using Iterations
– Mathematical Operations using Numpy
– Reading Datasets using Pandas
– Plotting Data in Pandas<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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6. Integration<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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– Data Preprocessing Step by Step
– Integrating Python and SQL
– Using Tableau to Analyze the Predicted Outputs\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Course Outcomes:<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u00b7 Provide solutions, assessments and validation to a broad range of situations by eliciting, planning, monitoring and analyzing enterprise requirements.
\u00b7 Demonstrate effective use of written, verbal, and non-verbal communication, employing relevant knowledge, skills, and judgment in a business setting.<\/p>

\u00b7 Document, manage, research and communicate business requirements from the initial stakeholder meeting, to the final solution assessment and validation phase.<\/p>

\u00b7 Perform a variety of quality control procedures including gap analysis, problem analysis, needs assessment, cost benefit analysis, business test plans and test cases.<\/p>

\u00b7 Collect, manage, and interpret data to identify trends and issues in the workplace to create, and develop levels of measure.<\/p>

\u00b7 Design, develop, implement, and maintain levels of measurement, accurate statistics, requirements lists and constraint documents.<\/p>

Load, explore, clean, analyze and plot data using Python, SQL and Excel<\/p>

Practice using various Python libraries<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Skills Set Developed At The End Of The Online Business & Data Analyst Course<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u00b7 Requirement Elicitation<\/p>

\u00b7 Visual Modeling<\/p>

\u00b7 Agile Business Analysis<\/p>

\u00b7 Project Management<\/p>

\u00b7 Basic data analysis in Python, Excel and MySQL<\/p>

\u00b7 Experience with NumPy, matplotlib, and pandas,\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Frequently Asked question<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\r\n\r\n \r\n \r\n\r\n WHAT ARE THE FEES FOR THE BUSINESS & DATA ANALYSIS CLASSES? <\/span>\r\n\r\n <\/div>\r\n
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Call 08061451247 for details.<\/p> <\/div>\r\n <\/div>\r\n

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\r\n\r\n \r\n \r\n\r\n HOW TO GET A JOB AFTER COMPLETING THE BUSINESS & DATA ANALYSIS COURSE? <\/span>\r\n\r\n <\/div>\r\n
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Arravo Academy will provide you 100% job assistance with an internship letter for the Data & Business Analysis training which you can us as your work experience while searching for a job. We also provide interview preparation & personality development classes separately for enhancing your skills.<\/p> <\/div>\r\n <\/div>\r\n

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\r\n\r\n \r\n \r\n\r\n WHO ARE MY TRAINING INSTRUCTORS? <\/span>\r\n\r\n <\/div>\r\n
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All our trainers have over 5 years experience in Business & Data Analysis. All trainings teams are coordinated by our lead instructor. You can connect him on linkedin https:\/\/www.linkedin.com\/in\/kunlejoseph\/<\/p> <\/div>\r\n <\/div>\r\n

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\r\n\r\n \r\n \r\n\r\n I HAVE PAID THE BOOKING AMOUNT FOR BUT DUE TO SOME REASONS, I WAS NOT ABLE TO JOIN THE INITIAL BATCH? <\/span>\r\n\r\n <\/div>\r\n
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Don\u2019t worry, we have many upcoming batches for the Business & Data Analysis\u00a0 course, you can join the upcoming batch at your convenience.<\/p> <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Live Training Sessions To Learn Business & Data Analysis From the Arravo Academy More than ever before, companies are relying …<\/p>\n","protected":false},"author":1,"featured_media":1298,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"nf_dc_page":"","_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"om_disable_all_campaigns":false,"_vibebp_attr":"","_vibebp_dimensions":"","_vibebp_responsive_height":"","_vibebp_accordion_ie_support":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"coauthors":[156],"class_list":["post-494","course","type-course","status-publish","has-post-thumbnail","hentry"],"yoast_head":"\nFor Business & Data Analysis - 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