Mastering-Data-Excel-Power-BI-Data-Science-and-More.pptx
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This comprehensive guide focuses on essential data skills needed in today's data-driven landscape, covering Excel, Power BI, data science, and predictive analytics. It provides insights into data gathering, exploratory analysis, and creating visualizations and reports, aiming to empower individuals to become data-driven decision makers. Additionally, it emphasizes the importance of storytelling with data and continuous learning to stay current with data trends and tools.
Mastering-Data-Excel-Power-BI-Data-Science-and-More.pptx
- 1. Mastering Data: Excel, Power BI, Data Science, and More This comprehensive guide covers essential data skills to excel in today's data-driven world. From learning Excel formulas and Power BI visualizations to exploring data science fundamentals and predictive analytics, this series will empower you to become a data-driven decision maker. Va by Vinay Sharma
- 2. Introduction to Data Analysis Data Gathering Collect and organize data from various sources to uncover insights. Exploratory Analysis Dive into the data to identify patterns, trends, and anomalies. Visualization & Reporting Create compelling visualizations and data- driven reports to communicate findings.
- 3. Excel Essentials: Formulas, Functions, and Pivot Tables 1 Formulas Unlock the power of Excel formulas to perform complex calculations and data manipulations. 2 Functions Leverage built-in functions to streamline data analysis and enhance productivity. 3 Pivot Tables Gain insights by summarizing and analyzing large datasets with just a few clicks.
- 4. Visualizing Data with Power BI Interactive Dashboards Create visually stunning and interactive dashboards to tell a compelling data story. Data Modeling Understand how to model your data for efficient and effective analysis. Reporting Build comprehensive reports that provide valuable insights and drive data-driven decisions.
- 5. Exploring Data Science Fundamentals Statistical Analysis Leverage statistical techniques to uncover hidden patterns and relationships in data. Machine Learning Discover how algorithms can be used to make predictions and automate decision- making. Data Modeling Develop models to simulate real-world scenarios and test hypotheses. Programming Gain proficiency in programming languages like Python and R to perform data analysis.
- 6. Predictive Analytics and Machine Learning Forecasting Leverage machine learning algorithms to make accurate predictions about future trends. Anomaly Detection Identify outliers and unusual patterns that may signal opportunities or risks. Clustering Group similar data points together to uncover hidden segments and personas. Classification Build models to categorize data and make informed decisions.
- 7. Storytelling with Data Understand the Audience Tailor your data narrative to the needs and interests of your stakeholders. Craft a Compelling Story Combine data insights with a narrative structure to captivate your audience. Choose Effective Visuals Select the right visualizations to support your story and enhance understanding.
- 8. Becoming a Data-Driven Decision Maker Cultivate a Data Mindset Embrace a culture of data-driven decision- making within your organization. Leverage Data Tools Utilize powerful data analysis and visualization tools to derive actionable insights. Communicate Effectively Present data findings in a clear, concise, and impactful manner to stakeholders. Continuously Learn Stay up-to-date with the latest data trends, techniques, and technologies.