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UID:11e8da017256dfce43fe91caf4ae69b0@egytraining.org
SUMMARY:Business Data Analytics
DESCRIPTION:Introduction\nIn today’s data-driven world\, corporate staff 
 are often overwhelmed by the sheer volume of unstructured data. With the ev
 olution of ERPs and databases\, businesses now have the capability to house
  vast amounts of data\, but the real question is: what do we do with this d
 ata to generate value? This course introduces Business Data Analytics (BDA)
  as a powerful tool for transforming raw data into actionable insights. You
  will learn to clean\, normalize\, and interpret large volumes of data\, al
 lowing you to establish historical relationships\, analyze current business
  situations\, and predict future trends. The application of data analytics 
 for business intelligence spans operational\, tactical\, and strategic deci
 sion-making across various departments. From data cleansing and reporting t
 o analysis and modeling\, this course uses MS Excel as an accessible tool t
 o develop advanced skills in data analytics\, adding immediate value to you
 r role and organization.\nCourse Objectives\nBy the end of this course\, pa
 rticipants will:\n\nGain expertise in business data analytics\, specificall
 y in data slicing\, dicing\, aggregation\, modeling\, and massaging.\nLearn
  data normalization\, consolidation\, and report writing techniques.\nDevel
 op dynamic BI models\, dashboards\, and scorecards using Excel\, integrated
  with Access\, Web\, Text\, SQL\, ERPs\, and other databases.\nEnhance the 
 presentation and impact of reports through dynamic visualization techniques
 .\nAcquire tips and tricks for working efficiently with data analytics for 
 business strategy.\nUnderstand the importance of data analytics in business
  and how it can drive better decision-making.\n\nCourse Outlines\nDay 1: Da
 ta Visualization\n\nDefining Data\, Information\, and Insight.\nComparing D
 ata Visualization and Infographics.\nUsing Charts and Graphics for effectiv
 e Data Visualization.\nDesigning visuals and infographics for non-financial
  users.\nUsing Excel and PowerPoint for creating impactful data visualizati
 ons.\nDesigning and using scorecards and dashboards in Excel.\nPractical ti
 ps for building effective dashboards in Excel.\n\nDay 2: Understanding Busi
 ness Models and Business Processes\n\nCreating value for key organizational
  stakeholders.\nThe role of the 21st-century finance professional.\nAnalyzi
 ng Business Models and Business Processes.\nBusiness process improvement an
 d re-engineering.\nIntroduction to Business Intelligence and Business Analy
 tics.\nData-driven decision management and its importance for business.\nKe
 y financial measures and shareholder value drivers.\nKey Success Factors an
 d Key Performance Indicators.\n\nDay 3: Mastering Data Reporting\n\nInterpr
 eting data to inform business decisions.\nRecognizing trends\, detecting ou
 tliers\, and summarizing data sets.\nAnalyzing relationships between variab
 les.\nCrafting survey questions and drawing conclusions from population sam
 ples.\nImplementing regression analysis and other advanced techniques in Ex
 cel.\nUnderstanding and applying predictive analytics to forecast business 
 trends.\n\nDay 4: Purpose and Principles of Business Intelligence and Busin
 ess Analytics\n\nImplementing a Business Performance Management Framework.\
 nDefining and understanding the purpose of Business Intelligence (BI).\nThe
  history\, development\, and features of BI systems.\nThe definition and ai
 ms of Business Analytics (BA).\nUnderstanding Descriptive Analytics and Pre
 dictive Analytics.\nExploring different sources and types of BI and BA tool
 s.\n\nDay 5: Principles of Statistical and Predictive Analytics\n\nDefining
  Statistical\, Descriptive\, and Predictive Analytics.\nUnderstanding busin
 ess database features and design.\nPrinciples of Distribution and Probabili
 ty Theory.\nAnalyzing time series data and trend forecasting using Moving A
 verages.\nApplying Linear Regression for trend analysis and forecasting.\nU
 tilizing Monte Carlo Simulation for predictive analytics in Excel.\n\nWhy A
 ttend This Course: Wins & Losses!\n\nMaster the principles of business data
  analytics and business intelligence to make informed decisions that will p
 ropel your organization forward.\nLearn how to use Excel for data analytics
  for business intelligence\, enabling you to work with large datasets\, cre
 ate dashboards\, and generate business insights.\nGain valuable skills in p
 redictive analytics and learn how to apply data analytics in business decis
 ion making to influence strategic outcomes.\nObtain a certificate in data a
 nalytics\, enhancing your professional profile and opening doors to new car
 eer opportunities.\nUnderstand the business value of data analytics and how
  to implement it for business strategy and operational improvements.\n\nCon
 clusion\nThis course equips you with the essential skills and tools needed 
 to leverage business data analytics for strategic decision-making. Whether 
 you are new to data analytics or looking to enhance your existing skills\, 
 the training you receive here will allow you to turn complex data into acti
 onable insights\, supporting better business decisions across departments. 
 With hands-on Excel practice\, you’ll be prepared to contribute significa
 ntly to your organization’s business strategy and intelligence needs.\nDo
 n’t miss out on the opportunity to earn a certification in business data 
 analytics\, and position yourself as a key asset in today’s data-driven b
 usiness environment.
LOCATION:London
DTSTAMP:20260614T220905Z
DTSTART:20260604T034500Z
DTEND:20260617T210500Z
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