Business Analytics Complete Course
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Business Analytics is a systematic and methodical presentation of data of any organization which is driven out of statistical and numerical analysis. Business analytics is a method which is used by the majority of companies today in order to make decision making effective and efficient. Thus, Business analytics course is a course which helps the students to learn the need and use of business analytics.
Business Analytics serves as a systematic process which is a combination of data analytics and Business Intelligence on the basis of which companies rely on their process of management, I.e. Planning for future goals, controlling the combination of capital and manpower, organizing the process in an efficient way possible, coping up with future-oriented goals and making analysis on the basis of Business Analytics.
Business Analytics is a continuous process which involves collection, processing and analysing the business data and operations, and with the help of statistical models and ideologies, transforming the outcome into business insights. The insights lead to improve the efficiency of the organization to achieve its objectives and early adaption of prone to complications. So, Business Analytics is a systematic presentation of data through which the company achieve their goals and get first-mover advantage in the industry.
Business Analytics prepares students In developing their skills in making business strategies and formulating plans of how to conduct a systematic analysis of organization data and evaluating the best possible outcome that will lead to achieving organizational objectives. Business Analytics is a subset of Business intelligence and specifically focuses on implementing the identified goals into actions. Business intelligence is generally descriptive in nature which provides tools and methods to identify, categorize and analyse raw data and compares with past and current operations.
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1Introduction - What is Analytics, Benefits from AnalyticsVideo lesson
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2Analytics vs Reporting, Analytics Use Cases Part 1Video lesson
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3Analytics vs Reporting, Analytics Use Cases Part 2Video lesson
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4Analytics Case Studies Part 1Video lesson
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5Analytics Case Studies Part 2Video lesson
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6Analytics Emerging TrendsVideo lesson
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7Career in AnalyticsVideo lesson
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8Introduction to StatisticsVideo lesson
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9Population and Sample, Descriptive and Inferential StatisticsVideo lesson
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10Central Tendency and Dispersion Measures Part 1Video lesson
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11Percentile ConceptsVideo lesson
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12Exercises using ExcelVideo lesson
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13Distributions (Normal, Skewed and Uniform)Video lesson
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38Introduction to Time SeriesVideo lesson
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39Forecasting Techniques - Moving Average & Exponential Smoothing Part 1Video lesson
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40Forecasting Techniques - Moving Average & Exponential Smoothing Part 2Video lesson
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41Forecasting Techniques - Double and Triple Exponential Smoothing Part 1Video lesson
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42Forecasting Techniques - Double and Triple Exponential Smoothing Part 2Video lesson
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