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Hello 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 fam! I wanted to share some exciting news on my learning 𝐣𝐨𝐮𝐫𝐧𝐞𝐲 in the world of 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠! 🌐💻 ➡ 𝐖𝐡𝐚𝐭 𝐈'𝐦 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: I've been diving deep into the realms of 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐒𝐐𝐋, 𝐇𝐚𝐝𝐨𝐨𝐩, 𝐒𝐩𝐚𝐫𝐤 and 𝐇𝐢𝐯𝐞. These technologies have been integral to my 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 journey, and the more I explore, the more amazed I am by their capabilities! ➡ 𝐖𝐡𝐲 𝐓𝐡𝐞𝐬𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: 𝐏𝐲𝐭𝐡𝐨𝐧: For its versatility and powerful data processing capabilities. 𝐒𝐐𝐋: The language that makes databases come alive! 𝐒𝐩𝐚𝐫𝐤: Lightning-fast data processing at scale. 𝐇𝐚𝐝𝐨𝐨𝐩: A game-changer for distributed storage and processing. 𝐇𝐢𝐯𝐞: Simplifying querying and managing large datasets. ➡ 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐍𝐞𝐯𝐞𝐫 𝐒𝐭𝐨𝐩𝐬: Learning is a continuous journey, and I'm thrilled to be on this path. 🌟 I believe that staying curious and embracing 𝐧𝐞𝐰 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 is key in the ever-evolving landscape of 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠. 🤝 𝐋𝐞𝐭'𝐬 𝐂𝐨𝐧𝐧𝐞𝐜𝐭: I'm always eager to connect with fellow professionals who share a passion for 𝐝𝐚𝐭𝐚 and 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲. If you have 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬, 𝐭𝐢𝐩𝐬, or just want to chat about 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, feel free to reach out! 🙏 𝐓𝐡𝐚𝐧𝐤 𝐘𝐨𝐮: Thank you for being a part of my professional network. Your support and insights inspire me to keep pushing the boundaries of what's possible in the 𝐰𝐨𝐫𝐥𝐝 𝐨𝐟 𝐝𝐚𝐭𝐚. Let's continue this journey together! 🚀 #Python #PySpark #BigData #DataEngineering #TechInnovation #LearnToCode #DataEngineeringJourney #TechSkills #bigdata #bigdataengineer #Pyspark #SQL #HIVE #Spark #BigDataTech #SparkEnthusiast #DataProcessingInsights #DataProfessionals #CareerGrowth #InnovativeTech #ashishhhwrites #jobfinder #jobseeksers #jobsearch #interview #hive #apachehive #optimization #interviewpreparation #interviewready #scenariobased #sparksql #sparksfoundation #apachespark

 😇 😇 As the first week of the new year wraps up, I can't help but reflect on how wonderful it's been! Filled with positivity, fresh starts, and moments of joy, it's set the perfect tone for the coming months. Here's to more amazing weeks ahead! #DataScience #MachineLearning #AI #BigData #Analytics #DataAnalytics #DataMining #PredictiveAnalytics #Statistics #DeepLearning #NeuralNetworks #Python #RProgramming #DataScientists #DataDriven #DataVisualization #BusinessIntelligence #DataAnalysis #FeatureEngineering #NaturalLanguageProcessing #PatternRecognition #IoT #CloudComputing #StructuredData #UnstructuredData #DataEngineering #Hadoop #Spark #Algorithms #RegressionAnalysis #Clustering #Classification #DimensionalityReduction #DataPreprocessing #StatisticalModeling #TimeSeriesAnalysis #TextMining #DataCleaning #DataQuality #DataWarehousing #NoSQL #SQL #DataPrivacy #EthicalAI #CrossValidation #EnsembleLearning #GradientBoosting #RandomForest #DecisionTrees #SupportVectorMachines #ARIMA #KMeans #AssociationRules #SupervisedLearning #UnsupervisedLearning #ReinforcementLearning #BiasInAI #ExplainableAI #FeatureSelection #AIOps #DataEthics #DataNormalization #DataStorage #DataIntegration #DataPipeline #DataSecurity #DataGovernance #DataFlows #DataWarehouse #DataLake #ETL #ELT #DataOps #ModelDeployment #ModelInterpretability #HyperparameterTuning #OptimizationAlgorithms #PrecisionRecall #ROCcurve #ANOVA #DataFusion #DataHarmonization #AnomalyDetection #TimeSeriesForecasting #CorrelationAnalysis #DataScienceCareer #DataScienceProjects #DataScienceCommunity #ContinuousLearning #AIForGood #EthicalDataScience #DataInnovation #QuantitativeAnalysis #DataScientistLife #DataLiteracy #DataStrategy #DataInformedDecisionMaking #KsolvesIndiaLimited #SalesforceGoldPartner #odoogoldpartner

I am finally sharing the certification for my learnings in the Full Stack Data Science & Al I had completed last year from NareshIT. I am thankful for the teachings and learnings I got from my mentors in this domain. Looking forward to opportunities to contribute by implementing my learnings in this field. And of course seeking more knowledge to keep learning more in this domain. Full Stack Data Science & Al by Naresh IT #DataScience #DataScienceJobs #DataScienceFreshers #DataAnalyst #MachineLearning #AI #BigData #DataEngineering #Engineering #EngineeringJobs #EngineeringFreshers #SoftwareEngineering

🚀 Exciting News! Just completed a comprehensive Data Science Bootcamp! 🎓 Hey LinkedIn fam, I'm thrilled to share that I've successfully completed a rigorous Data Science Bootcamp! 🌐💻 This immersive experience has equipped me with a solid foundation in data analytics, machine learning, and statistical modeling. 🔍 **What I've learned:** - Exploratory Data Analysis (EDA) 📊 - Data Visualization 📈 - Feature Engineering 🔍 - And much more! 🙌 **Gratitude:** A big shoutout to upGrad and International Institute of Information Technology Bangalore for their guidance and support throughout this incredible journey. 🙏 📈 **Next Steps:** I'm excited to apply my newfound skills to real-world projects and contribute to the field of data science. If you know of any opportunities or have advice to share, feel free to connect with me! 🚀 **Excited for the Future:** This is just the beginning of my data science journey, and I'm eager to continuously learn and grow in this dynamic field. 💡 🤝 **Let's Connect:** I'm open to networking, collaboration, and discussions about all things data science. Feel free to connect, and let's explore the endless possibilities together! #DataScience #CareerDevelopment #DataAnalytics #MachineLearning #NewBeginnings #exploratorydataanalysis #dataanalysis #datacleansing

🔍 Day 20 of #100DaysOfDataScience: Deep Dive into Exploratory Data Analysis (EDA) 🔎 Hello LinkedIn Community! Today's focus was on honing my Exploratory Data Analysis (EDA) skills: Data Handling: Performed various data manipulation tasks like type conversion, handling duplicates, and dropping unnecessary columns. Missing Value Analysis: Tackled missing values through imputation strategies, ensuring dataset integrity. Outlier Detection: Identified and managed outliers in the data, crucial for accurate analysis. Visualization: Leveraged plots and correlation analysis to gain deeper insights into the data. Data Transformation: Explored normalization and standardization techniques to prepare data for modeling. This comprehensive EDA practice has sharpened my analytical skills, preparing me for more complex data science challenges ahead. Excited to share more of my journey! I've documented my progress on GitHub. Feel free to check it out and share your insights! 🔗 Today's GitHub Link : https://lnkd.in/dU6Vpdi6  🔗 General GitHub Profile : https://lnkd.in/dqJT75aQ Best Regards, Er. Bhaskar Kumbhar #DataScience #EDA #DataAnalysis #MachineLearning #100DaysOfDataScience #SoftwareEngineering #JavaDeveloper #Programming #Code #SoftwareDevelopment #TechJobs #TechIndustry #CodingLife #JavaProgramming #SoftwareEngineer #JavaCode #TechCareer #JavaEE #SoftwareArchitecture #JavaFrameworks #JavaCommunity #JavaAppDevelopment #JavaSkills #TechSkills #CodeLife #LinkedInDeveloper #DataScience #Analytics #BigData #MachineLearning #ArtificialIntelligence #DataDriven #CareerOpportunities #BusinessIntelligence #DataInsights #DataAnalytics #Innovation #ProblemSolving #DigitalTransformation #TechIndustry #DataScientists #STEM #DataVisualization #FutureOfWork #ProfessionalDevelopment #LifelongLearning #100daysofcodechallenge #100daysofcodingchallenge #100daysofcode #100daysoflearning

Day 30🚀🚀🚀 📌Recap and Continuous Learning Over the past month, we've explored key concepts in Data Engineering. To recap: - Data Ingestion, Processing, and Storage. - ETL, Data Quality, and Governance. - Data Architecture, Modeling, and Transformation. - Metadata, Lineage, and Privacy. 💡Continuous learning and adapting to new technologies are essential for success in this field. ♻️Stay curious and keep exploring! Stay updated with our next nuggets on Python by following our socials 🔗👉https://lnkd.in/dwe4Z-V6 #ETL #Dataengineering #data #dataengineers #30DaysDENugget

🚀 Excited to share my latest project using #Databricks, #PySpark. I recently worked on a project where I analyzed sales data using Databricks, #PySpark, and #Matplotlib. 📈 Here's a glimpse of what I achieved: 🔍 Exploratory Data Analysis (EDA): Explored the sales data to uncover insights and trends using #PySpark, the Python API for Apache Spark. 🛠 Data Processing: Leveraged the distributed computing capabilities of Apache Spark to process large datasets efficiently across a cluster of machines. 📊 Data Visualization: Created interactive visualizations to showcase the sales trends over time, top ordered items, and more using Matplotlib and Seaborn. 🔢 Aggregations and Insights: Calculated key metrics such as total sales amount by location, quarterly sales, and customer visit frequency. 💡 Key Technologies: #Databricks, #PySpark, #ApacheSpark, #Matplotlib, #Seaborn. 🌐 About #PySpark: #PySpark provides an easy-to-use Python API for working with distributed datasets using Apache Spark. It allows seamless integration with other Python libraries and tools for data analysis and machine learning. 🔥 About #Databricks: Databricks is a unified analytics platform built on Apache Spark, providing a collaborative workspace for data engineers, data scientists, and machine learning engineers to work together on big data and AI projects. I'm passionate about leveraging data to drive business decisions and would love to connect with others interested in data analysis and PySpark! Let's connect and discuss more about how we can leverage data to unlock insights and drive business growth. 💬 published link: https://lnkd.in/eFYi_DQv #PySpark #Databricks #ApacheSpark #DataAnalytics #DataScience #DataVisualization #BigData #BusinessIntelligence #LinkedInLearning

Day 39: Unraveling the World of Statistics 📊🌐 Today, I embarked on a journey into the captivating world of statistics. Despite a nagging backache, I was determined to delve into the foundational concepts that make data come alive. Here's what I explored: 📈 Populations vs. Samples: I delved into the distinction between populations (the complete set of data) and samples (representative subsets). Understanding this difference is like peering into the heart of data analysis. ❤️ 🧮 Types of Variables: Variables are the building blocks of data. I learned about the diverse types, from categorical to numerical, and how they shape the analysis landscape. 🧱 📏 Measurement Levels: Data can be measured at different levels: nominal, ordinal, interval, and ratio. Each level has unique characteristics and implications, making data analysis a rich tapestry. 🎨 📊 Graphs and Tables: Visualizing data is an art. I explored various graphs and tables, each with its strengths, to bring data to life. From bar charts to scatterplots, I'm equipped to tell stories through data. 📊 🧠 Every bit of knowledge I gain is like a puzzle piece that fits into the broader picture of data science. The backache might slow me down, but it can't dampen my spirit. Stay tuned for more insights from my data-driven odyssey! 🌐💡 Regards, Er. Bhaskar Kumbhar #StatisticsJourney #DataAnalytics #ContinuousLearning #SoftwareEngineering #JavaDeveloper #Programming #Code #SoftwareDevelopment #TechJobs #TechIndustry #CodingLife #JavaProgramming #SoftwareEngineer #JavaCode #TechCareer #JavaEE #SoftwareArchitecture #JavaFrameworks #JavaCommunity #JavaAppDevelopment #JavaSkills #TechSkills #CodeLife #LinkedInDeveloper #DataScience #Analytics #BigData #MachineLearning #ArtificialIntelligence #DataDriven #CareerOpportunities #BusinessIntelligence #DataInsights #DataAnalytics #Innovation #ProblemSolving #DigitalTransformation #TechIndustry #DataScientists #STEM #DataVisualization #FutureOfWork #ProfessionalDevelopment #LifelongLearning #100daysofcodechallenge #100daysofcodingchallenge #100daysofcode #100daysoflearning

🎉 Exciting News! 🎉 I'm thrilled to announce that I've successfully completed the Data Science and Data Engineering course from Data Science Dojo! 🚀 Over the past few weeks, I've dived deep into the realms of data science and data engineering, learning everything from the basics of data manipulation and visualization to advanced topics like machine learning, big data technologies, and deployment. This journey has equipped me with invaluable skills and hands-on experience in: Data wrangling and preprocessing Exploratory data analysis Building and evaluating machine learning models Working with big data tools such as Hadoop and Spark Implementing data pipelines A huge thank you to the incredible instructors at Data Science Dojo for their guidance and support. The practical approach and real-world applications covered in this course have truly broadened my understanding and capabilities in this field. I'm eager to apply these new skills to solve real-world problems and drive data-driven decisions. If you're interested in discussing data science, data engineering, or potential collaboration opportunities, feel free to reach out! #DataScience #DataEngineering #MachineLearning #BigData #DataScienceDojo #ContinuousLearning #CareerGrowth #DataDriven