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X-WR-CALNAME:NAST Training & Consultancy Sdn. Bhd.
X-ORIGINAL-URL:https://nastglobal.com
X-WR-CALDESC:Events for NAST Training & Consultancy Sdn. Bhd.
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DTSTART:20250101T000000
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DTSTART;TZID=Asia/Shanghai:20250618T090000
DTEND;TZID=Asia/Shanghai:20250620T170000
DTSTAMP:20260620T174502
CREATED:20250111T162006Z
LAST-MODIFIED:20250111T162006Z
UID:8616-1750237200-1750438800@nastglobal.com
SUMMARY:Data Analytics Mastery: Turning Insights into Action
DESCRIPTION:Course Overview  \nThis 3-day intensive training program provides participants with a practical foundation in data analytics\, focusing on transforming raw data into actionable insights. The course covers data collection\, cleaning\, analysis\, visualization\, and predictive modeling using tools such as Excel\, SQL\, Python\, and Tableau/Power BI. \nParticipants will engage in hands-on activities\, case studies\, and a mini-project to develop real-world skills and confidently apply data analytics techniques in their roles. \nCourse Objectives  \nBy the end of this course\, participants will: \n\nUnderstand the data analytics lifecycle and its business applications.\nPerform data cleaning\, transformation\, and analysis using popular tools.\nCreate compelling visualizations and interactive dashboards.\nBuild and evaluate predictive models for forecasting and decision-making.\nTranslate analytical insights into business strategies.\n\nLearning Outcomes  \nParticipants will: \n\nTechnical Skills\n\nWork with Excel\, SQL\, Python (Pandas\, Matplotlib)\, and Tableau/Power BI.\nConduct data analysis and create dashboards.\nPerform regression modeling and trend analysis.\n\n\nAnalytical Thinking\n\nDevelop a structured approach to problem-solving using data.\nGain expertise in statistical interpretation and identifying patterns.\n\n\nPractical Application\n\nApply concepts to a mini-project based on a real-world dataset.\nPresent insights through storytelling techniques and data visualizations.\n\n\n\nTarget Participants  \n\nBusiness analysts\, managers\, and decision-makers.\nProfessionals transitioning into data analytics roles.\nEntrepreneurs and startups aiming to make data-driven decisions.\nStudents or recent graduates looking to enhance their analytics skills.\n\nPrerequisites: Basic familiarity with Excel and statistics is recommended. \nCourse Duration  \n\n3 Days (Full-Time)\nDaily Schedule: 9:00 AM – 5:00 PM (8 hours/day)\n\nTraining Methodology  \n\nInteractive Lectures – Concepts explained with examples.\nHands-On Labs – Tool-based exercises to build technical expertise.\nCase Studies – Business scenarios to practice analysis and decision-making.\nMini-Project – Final project to consolidate learning and skills.\nGroup Discussions – Peer collaboration and idea sharing.\n\n  \n  \n  \n  \n  \nDay 1: Fundamentals of Data Analytics  \nSession 1: Introduction to Data Analytics \n\nWhat is Data Analytics?\nTypes: Descriptive\, Diagnostic\, Predictive\, Prescriptive Analytics.\nApplications in Business and Industries.\n\nSession 2: Data Acquisition and Cleaning \n\nData Types and Sources.\nCollecting and Importing Data (Excel\, CSV\, SQL).\nData Cleaning Techniques: Missing Values\, Outliers\, and Standardization.\n\nSession 3: Exploratory Data Analysis (EDA) \n\nStatistical Measures: Mean\, Median\, Mode\, Variance.\nVisualization Techniques: Bar Charts\, Histograms\, Scatter Plots\, Boxplots.\nTools: Excel\, Python (Pandas\, Matplotlib).\n\nLab Activity: \n\nPractice data cleaning and analysis with a sample dataset.\n\nDay 2: Data Analysis and Modeling  \nSession 4: Statistical and Predictive Modeling \n\nCorrelation and Regression Analysis.\nHypothesis Testing and A/B Testing.\nIntroduction to Machine Learning (Decision Trees\, Clustering).\n\nSession 5: Hands-On Tools for Analysis \n\nExcel Advanced Functions (Pivot Tables\, Solver).\nSQL Queries for Data Retrieval.\nPython Libraries (Pandas\, NumPy\, Seaborn).\n\nSession 6: Data Visualization and Storytelling \n\nVisualization Principles: Simplicity and Clarity.\nTools: Tableau\, Power BI Basics.\nBuilding Dashboards and Reports.\n\nLab Activity: \n\nCreate dashboards using Tableau/Power BI with visual insights.\n\nDay 3: Advanced Analytics and Project Work  \nSession 7: Advanced Analytics Techniques \n\nIntroduction to Big Data Tools (Hadoop\, Spark).\nReal-Time Analytics and Data Pipelines.\nAI and NLP Basics for Sentiment Analysis.\n\nSession 8: Insights to Action \n\nConverting Findings into Business Strategies.\nPresenting Insights to Stakeholders.\nChange Management for Data-Driven Decision-Making.\n\nMini-Capstone Project: \n\nAnalyze a business problem using a dataset.\nPerform EDA\, build a predictive model\, and create a visualization report.\nPresent findings to the class for peer and instructor feedback.\n\n  \n 
URL:https://nastglobal.com/event/data-analytics-mastery-turning-insights-into-action/
LOCATION:NAST Training & Consultancy Sdn. Bhd.\, B-5-8 Plaza Mont Kiara\, Mont Kiara\, Kuala Lumpur\, 50480\, Malaysia
CATEGORIES:Business
ORGANIZER;CN="NAST%20Training%20And%20Consultancy":MAILTO:info@nastglobal.com
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