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AIN 3701 LEARNING UNITS (1,2,3,4)
1. COMPUTATIONAL THINKING 2. AUTOMATION 3. INTRODUCTION TO VISUAL BASIC FOR APPLICATION (VBA) 4. CODING SOLUTIONS BY USING VBA 5. DATA ANALYTICS
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Summary AIN3701 ((LEARNING UNIT 4 CODING SOLUTIONS BY USING VBA))
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4.1 INTRODUCTION, OUTCOME AND ASSESSMENT CRITERIA 4.2 VARIABLES 4.3 DETERMINING THE LAST ROW BY USING VBA 4.4 SELECTION OF PROGRAMMING STRUCTURES 4.5 LOOP PROGRAMMING STRUCTURES 4.6 FUNCTION PROCEDURES 4.7 BRINGING IT ALL TOGETHER 4.8 CLOSING REMARKS 4.9 REFERENCES
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Add to cart4.1 INTRODUCTION, OUTCOME AND ASSESSMENT CRITERIA 4.2 VARIABLES 4.3 DETERMINING THE LAST ROW BY USING VBA 4.4 SELECTION OF PROGRAMMING STRUCTURES 4.5 LOOP PROGRAMMING STRUCTURES 4.6 FUNCTION PROCEDURES 4.7 BRINGING IT ALL TOGETHER 4.8 CLOSING REMARKS 4.9 REFERENCES
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Summary LEARNING UNIT 3 INTRODUCTION TO VISUAL BASIC FOR APPLICATIONS (VBA)
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INTRODUCTION TO VISUAL BASIC FOR APPLICATIONS (VBA) 3.1 INTRODUCTION, OUTCOME AND ASSESSMENT CRITERIA 3.2 WHY PROGRAMMING LANGUAGES? 3.3 TYPES OF PROGRAMMING STRUCTURES 3.4 THE MACRO RECORDER VS MANUALLY GENERATING VBA CODE 3.5 VALUABLE CODING ADVICE 3.6 ASSIGNING VALUES BY USING VBA 3.7 CHAN...
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Add to cartINTRODUCTION TO VISUAL BASIC FOR APPLICATIONS (VBA) 3.1 INTRODUCTION, OUTCOME AND ASSESSMENT CRITERIA 3.2 WHY PROGRAMMING LANGUAGES? 3.3 TYPES OF PROGRAMMING STRUCTURES 3.4 THE MACRO RECORDER VS MANUALLY GENERATING VBA CODE 3.5 VALUABLE CODING ADVICE 3.6 ASSIGNING VALUES BY USING VBA 3.7 CHAN...
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Summary LEARNING UNIT 5 DATA ANALYTICS
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5.1 INTRODUCTION, OUTCOME AND ASSESSMENT CRITERIA 5.2 THE WORLD OF DATA 5.3 DATA ANALYTICS FOR ACCOUNTING AND RELATED SERVICES 5.4 THE DATA ANALYTICS PROCESS 5.5 STEP 1: IDENTIFY THE QUESTIONS (I) 5.6 STEP 2: MASTER THE DATA (M) 5.7 STEP 3: PERFORM TEST PLAN (P) 5.8 STEP 4: ADDRESS AND REFINE...
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Add to cart5.1 INTRODUCTION, OUTCOME AND ASSESSMENT CRITERIA 5.2 THE WORLD OF DATA 5.3 DATA ANALYTICS FOR ACCOUNTING AND RELATED SERVICES 5.4 THE DATA ANALYTICS PROCESS 5.5 STEP 1: IDENTIFY THE QUESTIONS (I) 5.6 STEP 2: MASTER THE DATA (M) 5.7 STEP 3: PERFORM TEST PLAN (P) 5.8 STEP 4: ADDRESS AND REFINE...
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Summary LEARNING UNIT 2 AUTOMATION
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2.1 INTRODUCTION, OUTCOME AND ASSESSMENT CRITERIA 2.2 WHAT IS AUTOMATION? 2.3 WHAT PROCESSES CAN BE AUTOMATED? 2.4 BENEFITS AND RISKS ASSOCIATED WITH AUTOMATION 2.5 COGNITIVE COMPUTING SYSTEMS IN THE AUTOMATION PROCESS 2.6 CLOSING REMARKS 2.7 REFERENCES
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Add to cart2.1 INTRODUCTION, OUTCOME AND ASSESSMENT CRITERIA 2.2 WHAT IS AUTOMATION? 2.3 WHAT PROCESSES CAN BE AUTOMATED? 2.4 BENEFITS AND RISKS ASSOCIATED WITH AUTOMATION 2.5 COGNITIVE COMPUTING SYSTEMS IN THE AUTOMATION PROCESS 2.6 CLOSING REMARKS 2.7 REFERENCES
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Summary LEARNING UNIT 1: COMPUTATIONAL THINKING
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1.1 INTRODUCTION, OUTCOME AND ASSESSMENT CRITERIA 1.2 WHAT IS COMPUTATIONAL THINKING? 1.3 THE PILLARS OF COMPUTATIONAL THINKING 1.4 CLOSING REMARKS 1.5 REFERENCES
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Add to cart1.1 INTRODUCTION, OUTCOME AND ASSESSMENT CRITERIA 1.2 WHAT IS COMPUTATIONAL THINKING? 1.3 THE PILLARS OF COMPUTATIONAL THINKING 1.4 CLOSING REMARKS 1.5 REFERENCES
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