1:23:14
Data Analytics & Business Analytics with AI|ML @ 9:30 AM (IST) by Mr.Sandeep Krishna Day-3
Naresh i Technologies
Overview
This video introduces the core concepts of data analytics and business analytics, emphasizing the process from data collection to storytelling. It details the steps involved: collecting, cleaning, transforming, manipulating, analyzing, and visualizing data. The session also highlights the roles of data analysts and business analysts, using real-world examples like the automotive industry (Maruti Suzuki's market leadership) and gold price trends to illustrate the importance of data-driven insights and strategic decision-making. Practical exercises, such as calculating year-on-year growth and identifying reasons for market fluctuations, are assigned to reinforce learning.
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Chapters
- Data analytics is a process involving collecting, cleaning, transforming, manipulating, analyzing, and visualizing data.
- Data cleaning addresses issues like duplicates, null values, spelling mistakes, and inconsistent formatting (e.g., 'HYD' vs. 'Hyderabad').
- Data transformation involves changing data formats or structures, such as splitting a full name into first and last names or converting currency.
- Data manipulation includes actions like merging or appending tables, filtering, and sorting data.
- Analyzing data means understanding it to find insights, like identifying which city has the highest sales.
- Visualizing data uses charts and graphs (bar charts, pie charts, line charts, heat maps) to make complex data understandable.
- Insights are specific, quantified pieces of information derived from data (e.g., 'South region sales increased by 20%').
- Storytelling involves presenting these insights and findings to stakeholders for decision-making.
Understanding this structured process is crucial for anyone looking to extract meaningful information from raw data and communicate it effectively to drive business decisions.
Correcting 'HYD' and 'Hyderabad' to a single consistent format during data cleaning, or converting USD sales figures to INR during data transformation.
- A business problem initiates the data analysis process.
- Data analysts collect and process data to generate insights.
- Business analysts use these insights to recommend strategies and form business plans.
- Decisions are made collaboratively by various departments (HR, finance, operations) based on these recommendations, not solely by the CEO.
- The core work of data and business analysts is to provide actionable insights and recommendations.
This clarifies the collaborative nature of business decision-making and the distinct yet complementary roles of data and business analysts in guiding strategy.
A data analyst identifies that sales are decreasing, and a business analyst recommends a new marketing strategy based on this insight, which is then discussed and approved by multiple departments.
- Maruti Suzuki leads the Indian automotive market due to factors like affordability, low maintenance, good mileage, and strong resale value.
- Companies like Mahindra and Tata started manufacturing cars much earlier but have a smaller market share compared to Maruti.
- Maruti's success is significantly attributed to collaborations, particularly with Toyota, borrowing existing technologies and designs.
- Developing proprietary technology takes a long time, whereas collaborations allow for faster market capture.
- Business analysts play a key role in identifying and recommending such strategic collaborations.
This case study demonstrates how strategic partnerships and leveraging existing technologies, rather than solely relying on in-house R&D, can be a powerful driver of market dominance.
Maruti Suzuki collaborating with Toyota to share models like Baleno/Glanza, Rumion/Ertiga, and Vitara Brezza/Urban Cruiser.
- Calculating profit requires understanding both selling price and cost price (Profit = Selling Price - Cost Price).
- Analyzing profit percentage (Profit / Selling Price * 100) provides a more accurate picture than just absolute profit values.
- Year-on-year growth percentage is calculated as (Current Value - Previous Value) / Previous Value.
- Excel or similar tools can automate these calculations using cell references, allowing for easy copying and pasting of formulas.
- Identifying the highest growth periods and investigating the underlying reasons (e.g., economic events, market trends) is a critical analytical task.
This section teaches practical analytical methods for evaluating business performance, highlighting how different calculation perspectives (absolute vs. percentage) can lead to different conclusions.
Calculating the profit percentage for January, February, and March to find that February had the highest profit percentage (40%) despite March having higher absolute profit, or calculating the year-on-year growth for gold prices and identifying a 35% increase between 2010 and 2011.
- Learners are assigned tasks like calculating gold price growth and identifying reasons for market fluctuations.
- Researching how industries like IPL use data analytics is encouraged.
- The course covers a broad range of tools and concepts including Excel, SQL, Power BI, Tableau, Python, statistics, AI (prompt engineering), and ML basics.
- Interactive sessions, presentations, and group discussions will be incorporated to enhance communication skills.
- Learning resources like the Nourish website provide detailed syllabus information.
This outlines the practical learning approach, emphasizing hands-on exercises, research, and a comprehensive curriculum designed to build robust data analytics skills.
Calculating the year-on-year growth percentage for gold prices from 2000 to 2025 and researching the global economic events that contributed to significant price increases in specific years.
Key takeaways
- Data analytics is a systematic process that transforms raw data into actionable insights.
- Data cleaning and transformation are essential prerequisites for accurate analysis.
- Visualizations are powerful tools for making complex data understandable and communicating insights effectively.
- Business analysts translate data insights into strategic recommendations and business plans.
- Strategic collaborations can be a key driver of market leadership, as seen in the automotive industry.
- Percentage-based analysis (profit percentage, year-on-year growth) often reveals more nuanced performance trends than absolute values.
- Identifying the 'why' behind data trends is as important as identifying the trends themselves.
- Continuous learning and practical application are vital for developing strong data analytics skills.
Key terms
Data AnalyticsData CleaningData TransformationData ManipulationData AnalysisData VisualizationInsightsStorytellingBusiness AnalystMarket LeaderYear-on-Year GrowthProfit PercentageCollaborationPrompt Engineering
Test your understanding
- What are the key steps in the data analytics process, and why is each step important?
- How does a data analyst's role differ from that of a business analyst?
- Explain how strategic collaborations can lead to market dominance, using the automotive industry example.
- Why is calculating profit percentage often more insightful than looking at absolute profit figures?
- What is the formula for year-on-year growth, and how can it be applied to financial data like gold prices?