Gowthami Nagappan

Below is a simplified roadmap for learning Data Science for Free ✅ Share with everyone so that everyone get benifts No Payment required ✅ 🔹 7000+ Course Free Access : https://lnkd.in/dc7dUxkj <>. Google Data Analytics: 🔺https://lnkd.in/gkDdTTz6 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬: - Learn the basics of linear algebra, calculus, and Understand advanced concepts. Mathematics: https://lnkd.in/ge4qRdPB 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠: - Learn Python and R, the most popular programming languages. - Master essential libraries like NumPy, Pandas, Matplotlib. - Learn how to use databases like SQL and MongoDB. Python: https://lnkd.in/gk4aMi6k R language: https://lnkd.in/g92J57iJ SQL: https://lnkd.in/gwEgvWpe MongoDB: https://lnkd.in/gpEVXGCC 𝐏𝐫𝐨𝐛𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬: - Understand the fundamentals of probability and statistics. - Learn how to apply these concepts to real-world data problems. Probability: https://lnkd.in/g3-qQtrJ Statistics: https://lnkd.in/gjkW-i58 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: - Learn the basics of machine learning, including model construction, data exploration, and validation. - Explore intermediate concepts like handling missing values, categorical variables. - Dive into ensemble learning techniques like Random Forests. 🪢 https://lnkd.in/gFn7fftr 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: - Learn about artificial neural networks, convolutional neural networks, and recurrent neural networks. - Implement deep learning models using TensorFlow, or PyTorch. - Understand crucial concepts like stochastic gradient descent, dropout. 🪢 https://lnkd.in/gMKZhbkd 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: - Learn the art of feature engineering, from creating baseline models to encoding categorical variables, generating new features, and selecting the most impactful features for your models. Feature Engineering : https://lnkd.in/ghziZsnF 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: - Learn how to deploy your data science models to production using cloud platforms like Microsoft Azure, or Google Cloud Platform. - Build web applications with Flask or Django. Microsoft Azure: https://lnkd.in/gMp5CXZJ Google Cloud: https://lnkd.in/gVaZtuC7 Flask: https://lnkd.in/g2PVuY2p Flask Project: https://lnkd.in/gD7-zEuH Django: https://lnkd.in/gRVFmwkQ #datascience #datascienceroadmap #datascience

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Solve the interview questions on 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗦𝗤𝗟 - How do you write a query to find duplicate rows in a table? - How would you perform a left join and filter out nulls in SQL? - What is a window function in SQL, and how do you use it for ranking data? - How do you calculate the cumulative sum for a column in SQL? - What is the difference between UNION and UNION ALL in SQL? 𝗣𝘆𝘁𝗵𝗼𝗻 - How do you import a CSV file into a pandas DataFrame, and how would you handle missing data? - How do you use list comprehensions to filter and transform data in Python? - What are the differences between the apply() and map() functions in pandas? - How do you visualize data using matplotlib or seaborn in Python? - How do you write a function to calculate the correlation between two numerical columns in a pandas DataFrame? 𝗘𝘅𝗰𝗲𝗹 - How would you use VLOOKUP or XLOOKUP to merge data between two Excel sheets? - What is the difference between absolute and relative cell references, and when would you use each? - How do you create a pivot table, and what types of data analysis can you perform with it? - How would you use conditional formatting to highlight cells that meet certain criteria? - How do you use the IF, AND, and OR functions together to create complex logical tests? 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 - How would you create and customize a calculated column in Power BI? - What is the difference between a slicer and a filter in Power BI, and when would you use each? - How do you create relationships between tables in Power BI, and how do they impact your data model? - How would you set up row-level security (RLS) to control access to sensitive data in Power BI? - What is the purpose of DAX functions like CALCULATE and FILTER, and how do you use them? 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 - How do you create a calculated field in Tableau, and what types of calculations can you perform? - What is a parameter in Tableau, and how can it be used to create interactive dashboards? - How do you use a dual-axis chart in Tableau to show multiple measures in the same view? - How would you optimize a Tableau dashboard for performance when working with large datasets? - How do you create a custom date filter in Tableau to allow users to select specific date ranges? Follow Maryniharika putti for more content #sql #dataanalysis #powerbi

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PepsiCo Interview Question: 🌟 Implementing a Star Schema: Key Table Types to Know 🌟 Question: In data warehousing, the star schema is a powerful and efficient way to structure your database for analytics. But what are the essential table types you need to make it work? My Answer: 🔑 1. Dimension Table: Usage: Stores descriptive data that provides context to the facts in the fact table. Examples: Product details, customer information, time periods, etc. 🔑 2. Fact Table: Usage: Contains the quantitative metrics or measures of the business. Examples: Sales figures, revenue, quantities sold, etc. Linked to dimension tables, it holds the actual business data we want to analyze. If you’re working on a data warehouse project, mastering these table types is key to delivering scalable and efficient solutions! #DataWarehousing #StarSchema #FactTable #DimensionTable #DatabaseDesign #DataEngineering #Analytics #BI #DataStrategy

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Meesho Data Analyst interview experience (0-3) - Power BI Questions: 1. Explain the concept of context transition in DAX and provide an example. 2. How would you optimize a complex Power BI report for faster performance? 3. Describe the process of creating and using calculation groups in Power BI. 4. Explain how you would handle large datasets in Power BI without compromising performance. 5. What is a composite model in Power BI, and how can it be used effectively? 6. How does the USERELATIONSHIP function work, and when would you use it? 7. Describe how to use Power Query M language for advanced data transformations. 8. Explain the difference between CROSSFILTER and TREATAS in DAX. SQL Questions: 1. How would you optimize a slow-running query with multiple joins? 2. What is a recursive CTE, and can you provide an example of when to use it? 3. Explain the difference between clustered and non-clustered indexes and when to use each. 4. Write a query to find the second highest salary in each department. 5. How would you detect and resolve deadlocks in SQL? 6. Explain window functions and provide examples of ROW_NUMBER, RANK, and DENSE_RANK. 7. Describe the ACID properties in database transactions and their significance. 8. Write a query to calculate a running total with partitions based on specific conditions. Follow Digvijay Rajput for more.

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Hi All, Here are some important tableau questions which helps in understanding tableau also will be helpful if one is preparing for Tableau Interviews 1. Start with mastering the definition of measures and dimensions. 2. Understand filters, including their types and order of execution. Prepare examples and scenarios to explain them. Context filters are among the most important ones, so make sure to learn about their applications and use cases. 3. Know the difference between parameters and filters. 4. Learn the basics of custom charts such as Donut chart, Funnel chart, and combination chart (Bar & line combined). 5. Understand how to use Top N and Bottom N using different methods. 6. Learn how to calculate YOY (Year on Year Growth) or MOM (Month on Month Growth) by using calculated fields or table calculations. 7. Get familiar with date-related functions such as DATEDIFF, DATETRUNC, DATEADD, DATESUB, etc. Be prepared to answer questions like finding the difference between order date and shipped date for a product, excluding the weekends, or calculating how many years an employee has stayed in the company if the date of joining is given. 8. Be ready to explain the most recent dashboard you have worked on. 9. Understand the difference between Live and Extract, and learn how to do incremental refresh. Also, know which has better performance: Live or Extract Refresh? 10. Know the string-related functions in Tableau such as Split(), Proper(), LTRIM(), RTRIM(), UPPER(), LOWER(), STARTSWITH(), STR(), REPLACE, etc. 11. Master performance optimization in Tableau. 12. Learn how to calculate rolling sales for Year, quarter, Month. 13. Understand rank use cases and the types of rankings. 14. Get familiar with LOD's (Level of Detail) and the order of LOD expressions. Prepare an example for all three types of LOD functions and how other calculations will impact LOD's. 15. Know the difference between Blending and joins 16. Know about bins and hierarchies. 17. Learn about custom colour palette in Tableau. 18. Learn how one can swap sheets in tableau. 19. Learn about relationship and its types. 20. Learn about logical and Physical layer in Tableau and what operations are being performed in both the layers. #tableau #Dashboarding #Visulazation #Datafam #Reporting #Dashboards

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🚀 Power BI Interview Prep for Walmart – Essential Q&A for Data Analysts 🔍 Power BI Question that are asked in Walmart Interview : 1. What is Power BI and its components? Power BI is a business analytics tool by Microsoft with components like Power BI Desktop, Service, Mobile, Gateway, and Report Server. 2. How do you handle data modeling in Power BI? Data modeling involves creating relationships between tables, defining calculated columns and measures using DAX, and ensuring data integrity. 3. Explain DAX and its importance in Power BI. DAX (Data Analysis Expressions) is a formula language for custom calculations and aggregations, critical for advanced data analysis. 4. What are the different types of filters in Power BI? Power BI offers visual-level, page-level, report-level, and drillthrough filters, refining data in reports and dashboards. 5. How do you create and use calculated columns and measures? Calculated columns are created with DAX and added to data tables, while measures are used for dynamic calculations in reports. 6. Describe the process of data visualization in Power BI. This involves importing, cleaning, and transforming data, creating relationships, and visualizing it with charts, graphs, and maps. 7. What are Power BI dashboards and reports? Reports are multi-page documents with various visualizations, while dashboards are single-page, real-time interfaces aggregating metrics. 8. How do you implement row-level security in Power BI? Row-level security (RLS) restricts data access based on user roles, defined through DAX filters in Power BI Desktop. 9. Can you share a real-world scenario where you used Power BI to solve a business problem? I used Power BI to analyze sales data for a retail client, identifying underperforming products and optimizing inventory, leading to a 15% increase in sales and a 10% reduction in excess inventory. Having a strong understanding of these topics will give you the edge you need! 💼 #PowerBI #DataAnalytics #WalmartInterview #DataModeling #DAX #InterviewPrep #BusinessIntelligence

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Company Name : #confidential scenario based Interview Questions & Answers for Data Analyst 1. Scenario: You are working on a SQL database that stores customer information. The database has a table called "Orders" that contains order details. Your task is to write a SQL query to retrieve the total number of orders placed by each customer.   Question:   - Write a SQL query to find the total number of orders placed by each customer.  Expected Answer:     SELECT CustomerID, COUNT(*) AS TotalOrders     FROM Orders     GROUP BY CustomerID;   2. Scenario: You are working on a SQL database that stores employee information. The database has a table called "Employees" that contains employee details. Your task is to write a SQL query to retrieve the names of all employees who have been with the company for more than 5 years.   Question:   - Write a SQL query to find the names of employees who have been with the company for more than 5 years.  Expected Answer:     SELECT Name     FROM Employees     WHERE DATEDIFF(year, HireDate, GETDATE()) > 5;   Power BI Scenario-Based Questions  1. Scenario: You have been given a dataset in Power BI that contains sales data for a company. Your task is to create a report that shows the total sales by product category and region.     Expected Answer:     - Load the dataset into Power BI.     - Create relationships if necessary.     - Use the "Fields" pane to select the necessary fields (Product Category, Region, Sales).     - Drag these fields into the "Values" area of a new visualization (e.g., a table or bar chart).     - Use the "Filters" pane to filter data as needed.     - Format the visualization to enhance clarity and readability.   2. Scenario: You have been asked to create a Power BI dashboard that displays real-time stock prices for a set of companies. The stock prices are available through an API.   Expected Answer:     - Use Power BI Desktop to connect to the API.     - Go to "Get Data" > "Web" and enter the API URL.     - Configure the data refresh settings to ensure real-time updates (e.g., setting up a scheduled refresh or using DirectQuery if supported).     - Create visualizations using the imported data.     - Publish the report to the Power BI service and set up a data gateway if needed for continuous refresh.   3. Scenario: You have been given a Power BI report that contains multiple visualizations. The report is taking a long time to load and is impacting the performance of the application.   Expected Answer:     - Analyze the current performance using Performance Analyzer.     - Optimize data model by reducing the number of columns and rows, and removing unnecessary calculations.     - Use aggregated tables to pre-compute results.     - Simplify DAX calculations.     - Optimize visualizations by reducing the number of visuals per page and avoiding complex custom visuals.     - Ensure proper indexing on the data source. follow more for Priyanka SG #Powerbi #SQL #EXCEL #PYTHON #DATAANALYST

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💡 Want to become a Data Analyst without breaking the bank? 📚 Leverage free resources and smart strategies to kickstart your career! 💼 Say goodbye to lakhs of rupees in fees and start learning today! You don’t need to spend lakhs on expensive courses to become a skilled Data Analyst. The truth is, high-priced programs are often a scam, preying on people’s dreams while delivering little to no job security. But here’s the good news—you don’t have to fall for it! Here's a proven, cost-effective strategy to start your journey: 🔹 Free Resources – Platforms like Coursera, Khan Academy, and YouTube offer free tutorials and courses in Excel, SQL, Python, and Power BI—everything you need to start your learning. 🔹 Community Support – Join free communities on LinkedIn, Reddit, or GitHub where you can learn, collaborate, and grow with others on the same path. 🔹 Practice Projects – Use datasets from sites like Kaggle to practice real-world data problems and build your portfolio. But what if you want guidance along the way? Mentorship can be your game-changer—not from costly, profit-driven companies, but from someone who’s working in the field without charging a fortune. You can find experienced professionals offering 1:1 mentorship at the lowest cost or even for free, helping you master the right skills from scratch. 💡 Stop paying lakhs for promises. Start learning smart. Let’s connect if you're ready to take the smarter route to becoming a Data Analyst! I’m here to guide you step by step, not as a teacher, but as a colleague who’s been there and knows what it takes to succeed. 🚀 #DataAnalytics #AffordableLearning #CareerGrowth #FreeResources #Mentorship #LearnDataAnalytics #SmartLearning #DataSkills #BreakingIntoTech

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Mercedes-Benz AG Data Analyst Interview Experience : Power BI : 1. Create a DAX measure to identify the top 5 products by color using data from ‘Product’ (columns: ‘product_id’, ‘product_color’) and ‘Sales’ (columns: ‘product_id’, ‘profit’). 2. Discuss how to set up Row-Level Security (RLS) in Power BI. 3. Outline the various types of filters available in Power BI. 4. Clarify the distinction between the ‘ALL’ and ‘ALLSELECTED’ functions in DAX. 5. Write a DAX formula for calculating the 12-month rolling average of sales with a table ‘sales’ that includes a ‘DATE’ column, ‘product_id’, and ‘profit’. Python: 1. Build a dictionary, add items to it, modify an entry, and display it sorted by key. 2. Identify unique values in a list of mixed numbers and show how often each value appears. 3. Detect duplicate values in a list of mixed numbers and count their occurrences. 4. Develop a function to add two numbers, take user input, and handle errors such as non-numeric or empty input. SQL: 1. Construct a SQL query to display employee and manager names using a self-join on an ‘employees’ table with ‘emp_id’, ‘name’, and ‘manager_id’ columns. 2. Describe the order of operations in a SQL query. Follow Digvijay Rajput For More.

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🌟 Top Power BI Interview Questions at Walmart for Data Analyst Roles 🌟 Demonstrating the Power BI expertise can significantly increase the chances of landing that dream job! 💼✨ 1. What are the different types of filters available in Power BI? Answer: Power BI offers report-level, page-level, and visual-level filters. Additionally, there are slicers and drill-through filters to provide more granular control over data. 2. How do you implement row-level security in Power BI? Answer: Row-level security is implemented by creating roles and defining DAX (Data Analysis Expressions) filters within Power BI Desktop. These roles are then assigned to users in the Power BI Service. 3. What is the difference between DirectQuery and Import mode in Power BI? Answer: DirectQuery allows live connection to the data source, ensuring data is always up-to-date but can have performance issues with complex queries. Import mode loads data into Power BI, providing faster performance but requiring scheduled refreshes. 4. How do you use DAX in Power BI to create calculated columns and measures? Answer: DAX (Data Analysis Expressions) is used to create custom calculations in Power BI. Calculated columns are used to add new data columns to tables, while measures are used to perform calculations on data dynamically in reports and visuals. 5. Explain the purpose and use of Power BI dataflows. Answer: Power BI dataflows allow users to define, manage, and reuse ETL (Extract, Transform, Load) logic across different datasets. Dataflows are stored in the cloud and can be used by multiple reports and dashboards, promoting consistency and efficiency. 6. What is a KPI in Power BI and how do you create one? Answer: A KPI (Key Performance Indicator) visual in Power BI is used to measure the performance of a value against a defined target. It is created by using measures and setting target goals. 7. How do you share dashboards and reports in Power BI? Answer: Dashboards and reports can be shared via the Power BI Service by sharing the content directly, creating workspaces, or publishing apps for broader distribution. 8. What are the benefits of using Power BI Embedded? Answer: Power BI Embedded allows you to embed Power BI reports and dashboards into web applications, providing interactive data visualizations within your own custom applications. 9. How do you perform data transformations in Power BI? Answer: Data transformations in Power BI are performed using Power Query Editor, where you can clean, reshape, and modify your data using various built-in functions and transformations. 10. What is the use of the Q&A feature in Power BI? Answer: The Q&A feature allows users to ask natural language questions about their data and get answers in the form of visuals. This enhances user interaction and makes data exploration more intuitive. #DataAnalytics #PowerBI #Walmart #CareerGrowth #JobSearch #InterviewTips #DataAnalyst #LinkedInNetwork

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#SQL_Interview_Question Here's my SQL query for the problem statement. Calculate the count and total order amount for both First_orders and repeat_orders based on the provided dataset. Functions used in the Query. 1. CTE (Common Table Expressions) :   - Used to define temporary result sets (`Order_Rank` and `Order_flag`) that can be referenced within the main query. 2. RANK() function:   - Used within the `Order_Rank` CTE to assign a rank to each row within partitions defined by `customer_id`, ordered by `order_date` to assign 1 for each first order. 3. PARTITION BY:   - Used in conjunction with the `RANK()` function to partition the result set by `customer_id`, so that ranks are calculated separately for each customer. 4. CASE statement:   - Utilized within the `Order_flag` CTE to conditionally assign values based on whether the order is first-order or repeat_orders and to determine the corresponding order amounts. 5. GROUP BY:   - Used in the main query to group the results by `order_date`, allowing for the aggregation of order counts and amounts on the date. Question from Ankit Bansal Youtube channel Looking forward to your feedback and suggestions on the approach.

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Don't confuse yourself what skills are required for a Data engineer because it is in high demand....... Listed here are top skills you must have in your portfolio according to your experience. The most common skills are..... 1. Python 2. SQL 3. Spark 4. Pyspark 5. Hive Check your experience level and starting preparing today. And you don't get lost ever in your path again. Check completed data engineering information & resources here.... https://lnkd.in/g4ZP_AWN Looking for free data engineering Learning path? Check here.... https://zealoq.me/1504b492 SQL Free learning resources. Check here.... https://zealoq.me/14670f48 Pyspark Free learning resources. check here......... https://lnkd.in/gz82NHGp Spark Free learning resources. Check here....... https://lnkd.in/gcZYQC_G Hive Free Learning resources. Check here.... https://lnkd.in/g_HbE6jJ Python Free Learning resources. Check here..... https://lnkd.in/g5PvJ3rN Scala Free Learning resources. Check here.... https://lnkd.in/gSzSiW6h Data Engineering complete free interview questions. check here... https://lnkd.in/g5PvJ3rN Note: There are some skills that absolute no brainer in the image ex: data analysis for 12+ just 12.7% on a rough a note all those skills are equally important but utilization of skills depends on project. hope you don't misguided. Save it for later🙂 do follow Ajay Kadiyala ✅ #dataengineering #python #sql #spark #learningpath #various #experience #interviewexperience #dataanalysis #projects

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Important data analyst interview questions 👇👇 𝗦𝗤𝗟 - How do you write a query to find duplicate rows in a table? - How would you perform a left join and filter out nulls in SQL? - What is a window function in SQL, and how do you use it for ranking data? - How do you calculate the cumulative sum for a column in SQL? - What is the difference between UNION and UNION ALL in SQL? 𝗣𝘆𝘁𝗵𝗼𝗻 - How do you import a CSV file into a pandas DataFrame, and how would you handle missing data? - How do you use list comprehensions to filter and transform data in Python? - What are the differences between the apply() and map() functions in pandas? - How do you visualize data using matplotlib or seaborn in Python? - How do you write a function to calculate the correlation between two numerical columns in a pandas DataFrame? 𝗘𝘅𝗰𝗲𝗹 - How would you use VLOOKUP or XLOOKUP to merge data between two Excel sheets? - What is the difference between absolute and relative cell references, and when would you use each? - How do you create a pivot table, and what types of data analysis can you perform with it? - How would you use conditional formatting to highlight cells that meet certain criteria? - How do you use the IF, AND, and OR functions together to create complex logical tests? 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 - How would you create and customize a calculated column in Power BI? - What is the difference between a slicer and a filter in Power BI, and when would you use each? - How do you create relationships between tables in Power BI, and how do they impact your data model? - How would you set up row-level security (RLS) to control access to sensitive data in Power BI? - What is the purpose of DAX functions like CALCULATE and FILTER, and how do you use them? 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 - How do you create a calculated field in Tableau, and what types of calculations can you perform? - What is a parameter in Tableau, and how can it be used to create interactive dashboards? - How do you use a dual-axis chart in Tableau to show multiple measures in the same view? - How would you optimize a Tableau dashboard for performance when working with large datasets? - How do you create a custom date filter in Tableau to allow users to select specific date ranges? Hope this helps you 😊 follow me and feel free to reach out any doubts or connect with me

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Handling Null Values in SQL for Power BI Managing Null Values in SQL Queries for Power BI Integration Steps to Handle Null Values: Replace Nulls with Default Values: SELECT COALESCE(TotalAmount, 0) AS TotalAmount FROM Orders; Filter Out Nulls: SELECT OrderID, TotalAmount FROM Orders WHERE TotalAmount IS NOT NULL; Use CASE Statement for Conditional Replacement: SELECT OrderID, CASE WHEN TotalAmount IS NULL THEN 'Unknown' ELSE CAST(TotalAmount AS VARCHAR) END AS TotalAmount FROM Orders; Benefits: Data Quality: Ensure clean and consistent data in your Power BI reports. Accurate Analysis: Avoid skewed analysis due to null values. How do you handle null values in your SQL queries? Share your methods in the comments! #SQL #PowerBI #DataQuality #NullValues #TechTips

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Got Doubts? Let’s Clear Them! 🤔 Whether you're just starting or thinking about making a career shift into the data field, this guide is for you. Check 👇🏻 this detailed guide provided by the Codebasics that will answer all your doubts and questions I hope this post is helpful for you in some way.😀 if yes then give it a like also share 🔁 it with your networks Follow AKASH SINGH for more of this kind of posts where I try to share with you my learnings in a simplified way 😃 Happy #Data journey 💯😀 #dataanalysis #dataanalyst #career #growth #codebasics #dataanalytics #businessanalyst #datafacts

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Ayushi JainWsCube Tech Creating a student performance dashboard in Power BI involves several steps, including data preparation, loading data into Power BI, creating visualizations, and designing the dashboard layout. Below are prompts you can use to guide you through each step of the process. Step 1: Data Preparation Make sure your data is organized and clean. Ideally, you should have a dataset that includes information such as student names, IDs, grades, attendance, and other performance metrics. Step 2: Loading Data into Power BI Load dataset: Open Power BI Desktop. Click on "Home" > "Get Data" > "Excel" (or the appropriate data source). Load your dataset into Power BI. Inspect and transform your data (if necessary): Use the "Power Query Editor" to clean and transform your data. Ensure all columns have the correct data types. Step 3: Creating Visualizations Student Performance Overview: Bar Chart: Create a bar chart to show the distribution of grades for a specific subject. Line Chart: Use a line chart to display the trend of average grades over time. Table: Add a table to display detailed information about each student's performance. Attendance Analysis: Pie Chart: Use a pie chart to show the proportion of students with different attendance rates. Stacked Bar Chart: Create a stacked bar chart to compare attendance rates across different classes or subjects. Student Comparison: Scatter Plot: Create a scatter plot to compare students' grades against their attendance rates. Step 4: Designing the Dashboard Layout Arrange Visuals: Drag and drop your visualizations onto the Power BI canvas. Arrange them in a logical and easy-to-read layout. Add Filters: Add slicers for filtering data by class, subject, or time period. Consider using a dropdown or list slicer for better user experience. Enhance with Titles and Labels: Add titles to each visualization. Ensure axis labels and data labels are clear and informative. Themes and Formatting: Apply a consistent color theme to your dashboard. Use Power BI's formatting options to enhance the visual appeal and readability.

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RSVP Movies Case Study:- Leveraged SQL to analyze movie data for RSVP by implementing ERD, DDL, and DML commands. Utilized inner joins to extract valuable insights, and provided recommendations based on the findings to help RSVP produce successful movies for a global audience. problem Statement :- Q1. Find the total number of rows in each table of the schema? Q2. Which columns in the movie table have null values? Q3. Find the total number of movies released each year? How does the trend look month wise?  (Output expected) Q4. How many movies were produced in the USA or India in the year 2019?? Q5. Find the unique list of the genres present in the data set? Q6. Which genre had the highest number of movies produced overall? Q7. How many movies belong to only one genre? Q8. What is the average duration of movies in each genre?  Q9. What is the rank of the ‘thriller’ genre of movies among all the genres in terms of  number of movies produced?  Q10. Find the minimum and maximum values in each column of the ratings table except the movie_id column? Q11. Which are the top 10 movies based on average rating? Q12. Summarise the ratings table based on the movie counts by median ratings. Q13. Which production house has produced the most number of hit movies (average rating > 8)?? Q14. How many movies released in each genre during March 2017 in the USA had more than 1,000 votes? Q15. Find movies of each genre that start with the word ‘The’ and which have an average rating > 8? Q16. Of the movies released between 1 April 2018 and 1 April 2019, how many were given a median rating of 8? Q17. Do German movies get more votes than Italian movies?  Q18. Which columns in the names table have null values?? Q19. Who are the top three directors in the top three genres whose movies have an average rating > 8? Q20. Who are the top two actors whose movies have a median rating >= 8? Q21. Which are the top three production houses based on the number of votes received by their movies? Q22. Rank actors with movies released in India based on their average ratings. Which actor is at the top of the list? Q23.Find out the top five actresses in Hindi movies released in India based on their average ratings?  Note: The actresses should have acted in at least three Indian movies.  Q24. Select thriller movies as per avg rating and classify them in the Q25. What is the genre-wise running total and moving average of the average movie duration?  Q26. Which are the five highest-grossing movies of each year that belong to the top three genres?  Q27. Which are the top two production houses that have produced the highest number of hits  Q28. Who are the top 3 actresses based on number of Super Hit movies (average rating >8) in drama genre? Q29. Get the following details for top 9 directors (based on number of movies) #Mysql #Data Analyst #Data Science #business Analyst

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Data Scientist Lead Rate : $60/per hour on C2C Location : New Jersey WFO/Remote : WFO No of client interviews : 2 or 3 The Data Scientist will support Data Science and BI efforts for the consumer business of customer. The main responsibility lies in analyzing consumer data from devices, app stores, analytics systems, data lakes, and the database to provide quality data for quality AI and BI solutions. A good candidate is someone who is proficient in Python/PySpark, able to analyze data through visualization/tables/pivot tables, organized, and detail oriented. Expert level knowledge in SQL queries and database structure is also a must. To be successful in this role, the Data Scientist will focus on below areas   1. Work with the consumer Analytics team to understand data fields definitions in the analytics systems, KPIs, and business metrics that are tacked by stakeholders 2. Work with the Data Innovation & Ingestion team to understand consumer data events, user database, aggregations, and transformations 3. Work with the Product Engineering/Architecture teams to understand systems, data flows, and events that go into data environments 4. Work with the Product/Business owners to understand business rules and logic 5. Be a data advisor to Data Scientists and Business Intelligence team when it comes to using consumer data to build AI and BI solutions 6. Use Python/PySpark to visualize data, analyze volumes, trends, and create pivot tables.   Requirements: ·        Bachelor’s degree in a STEM field such as Statistics, Math, Engineering, Information ·        Systems, etc. ·        7 years of work experience in data/business analysis, analytics, data ·        visualization, reporting, or data engineering ·        7 years of work experience in Python/PySpark for data extraction, ·        transformation, and analysis ·        7 years of work experience in querying data using SQL and BI tools ·        7 years of work experience in databases and pulling data with table joins ·        7 years of work experience with cloud platforms such as AWS ·        Good communication and presentation skills to explain technical solutions to either ·        technical peers or non-technical stakeholders   Preferred Skills: ·        Master’s degree in a STEM field such as Statistics, Math, Engineering, Information ·        Systems, etc. ·        5 years of work experience in data/business analysis, analytics, data ·        visualization, reporting, or data engineering ·        5 years of work experience in Python/PySpark for data extraction, ·        transformation, and analysis ·        5 years of work experience in querying data using SQL and BI tools ·        5 years of work experience in databases and pulling data with table joins ·        5 years of work experience with cloud platforms such as AWS Share resumes to [email protected] #Datascientist #data #Lead #SQl #python #BItool #AWS #C2C #W2 #vendors #USC #GC #onsite #hiring #usstaffing

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