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Curious about starting a career in data science? Check out this comprehensive blog detailing the top Udemy courses to jumpstart your data science journey. From beginner-friendly introductions to advanced skill-building, these courses provide valuable insights and practical knowledge. Dive into the world of data science and transform your career today! Zoutons.com #DataScience #Udemy #CareerGrowth #LearnDataScience #SkillDevelopment

20% into my udemy course, "The Data Analyst's Toolkit: Excel, Python, Power BI and Pivot Table" instructed by Simon Sez IT , and I am already getting a great ROI. A couple of weeks ago, I had a chat with Joel about how I felt stuck in my career growth. He decided to help by doing a little "diagnostic test," which included helping me take stock of my skill sets, knowledge gaps, and career goals. You see, the thing too was that after becoming a member of the ACCA, I thought I had arrived and there was no need to learn new skills. How delusional of me! 😄 Relying on rusty skills and knowledge. The call with Joel really helped put things into perspective. As part of my short-term learning goals, I decided to revise my Excel skills and learn some advanced data analytical skills. This short-term learning was greatly influenced by my firm's new business line, which will require analyzing tons of data in the future to make decisions. Kicking off my learning goals, Ceasar recommended I look up Udemy's course offerings due to their great discounts and value for money. The first lesson was on Advanced Pivot Tables and Charts, which was both a revision and a learning of new features—Power Query, DAX, Slicers, and Excel Data Model. These lessons, despite representing only 20% of the entire course model, were already paying off when I had to value, present and analyze inventory data from multiple sources. I was a little rusty at first when trying to apply the lessons. But a little revision and yesterday's application got the skills properly cemented.

🛑 Stop paying for online courses ever again. 💸Google offer free data analytics online courses Here is the list of 7 Free one's No payment required ✅ 🔺 7000+ Course Free Access : https://lnkd.in/dSrkusNN FREE RESOURCE 100TB ➠ 5050ai.co <>. Google Data Analytics: 🔹 https://lnkd.in/djb3Nu9S <LimiTed> < FREE RESOURCES - https://lnkd.in/dWTwsd6Y 1. Intro to Data Analysis- Google Time to Complete–6 months at 10 hours a week Best For-Beginners ➡️ Throughout this Kumarcourse, you will learn the data analysis process, and the popular Python libraries Pandas and Numpy. ◾https://lnkd.in/djb3Nu9S 2. Learn SQL Basics for Data Science Specialization Time to Complete–2 months at 10 hours a week Best For-Beginners ➡️ This SQL for Data Analysis course is also completely free and teaches SQL for Data Analysis. SQL is used for managing data and if you want to learn or brush up on your SQL skills, this is the best course. ◽https://lnkd.in/dfTnuFRF 3-Learn SQL Basics for Data Science: Want to start learning SQL from the beginner level of writing queries to assessing and creating datasets to solve business problems. ◾https://lnkd.in/dYyQSvAQ 4-Excel for Business : Learn not just the basics of manipulating the data or formatting the data but also analyzing and presenting the data in a user-friendly way. ◽https://lnkd.in/dkmPGvP4

🛑 Stop paying for online courses ever again. 💸Google offer free data analytics online courses Here is the list of 7 Free one's No payment required ✅ 🔺 7000+ Course Free Access : https://lnkd.in/dSrkusNN FREE RESOURCE 100TB ➠ 5050ai.co <>. Google Data Analytics: 🔹 https://lnkd.in/djb3Nu9S <LimiTed> < FREE RESOURCES - https://lnkd.in/dWTwsd6Y 1. Intro to Data Analysis- Google Time to Complete–6 months at 10 hours a week Best For-Beginners ➡️ Throughout this Kumarcourse, you will learn the data analysis process, and the popular Python libraries Pandas and Numpy. ◾https://lnkd.in/djb3Nu9S 2. Learn SQL Basics for Data Science Specialization Time to Complete–2 months at 10 hours a week Best For-Beginners ➡️ This SQL for Data Analysis course is also completely free and teaches SQL for Data Analysis. SQL is used for managing data and if you want to learn or brush up on your SQL skills, this is the best course. ◽https://lnkd.in/dfTnuFRF 3-Learn SQL Basics for Data Science: Want to start learning SQL from the beginner level of writing queries to assessing and creating datasets to solve business problems. ◾https://lnkd.in/dYyQSvAQ 4-Excel for Business : Learn not just the basics of manipulating the data or formatting the data but also analyzing and presenting the data in a user-friendly way. ◽https://lnkd.in/dkmPGvP4

Just unlocked a new milestone in my tech journey! 🚀💻 Thrilled to announce that I’ve successfully completed my SQL course on Udemy and earned my certification! 🎓✨ Ready to leverage these new skills to unlock insights, streamline processes, and bring data-driven solutions to the table. 🔑📊 This is just the beginning—excited for what’s next on the horizon! Big thanks to Udemy for making learning accessible and engaging. #SQL #Udemy #DataScience #TechSkills #LearningNeverStops #Certification #DataDriven #CareerGrowth #TechJourney #AlwaysLearning #NewBeginnings

🚀 My Data Analysis Learning Journey with Udemy! 📊 A few months ago, I picked up a course in Udemy to up my skills in Data Analysis. The field has always intrigued me, but seemed a little overwhelming. So, I decided to dive deep into the skills from mastering Excel functions to diving into Python for data analysis and learning key concepts like data visualization. Today, I’m thrilled to share that I've successfully completed my learning journey, and I couldn’t have done it without the incredible resources on Udemy! Here’s what made the journey so impactful: 📈 Practical, Real-World Applications: The course included real-life projects that helped me apply what I learned to actual datasets. From data cleaning to creating visualizations. I built skills in tools like Excel, SQL,Python and learned how to apply statistical methods to interpret data effectively. ✍ Problem-Solving: Data analysis is more than just crunching numbers. It’s about approaching challenges with a problem-solving mindset, and Udemy’s courses really emphasized that. 🏅 Certification: Completing these courses gave me the confidence to tackle new projects, and the certification is a great addition to my professional profile. The journey wasn’t always easy, but with dedication, persistence, and the right learning tools, I can confidently say that I’m now equipped to leverage data in powerful ways! I’m excited about the future and the endless possibilities that come with data analysis. 🌟 #DataAnalysis #LearningJourney #Udemy #SkillsDevelopment #ContinuousLearning #CareerGrowth #DataScience #Python #SQL #Excel

🌟 Excited to Share a Milestone in My Tech Journey! 🌟 I’ve just taken a big step in my learning journey by purchasing my first-ever paid course on Udemy—Complete Data Analyst Bootcamp from Basics to Advanced, taught by none other than Krish Naik and his team. This is a special moment for me as I invest in structured learning for the first time. The journey so far has been filled with free resources and self-study, but I’m thrilled to explore this new chapter with expert guidance! 💡 To my network: Have you also taken this paid course? I’d love to hear about your experiences, the courses you’ve taken, and how they’ve helped shape your tech journey. Please feel free to share your stories in the comments! 💬 A quick question to Krish Naik (the course instructor): Will this course include future updates, like incorporating AWS concepts? How often do you plan to update the content to stay aligned with industry trends? I’m looking forward to learning and growing with this course. Here’s to taking charge of our dreams and leveling up! 🚀 #LearningJourney #TechMilestone #DataAnalytics #Udemy #KrishNaik #PaidCourse #ContinuousLearning

🎉 I’m happy to share that I’ve obtained a new certification: Azure Databricks & Spark For Data Engineers (PySpark / SQL) from Udemy! 🚀 This course has been an incredible journey, and I've gained valuable knowledge and hands-on experience with: 💻 Azure Databricks: Understanding the platform and its capabilities. ⚙️ Databricks Clusters: Setting up and managing clusters. 📓 Databricks Notebook: Utilizing notebooks for interactive data analysis. 🔗 Accessing Azure Data from Databricks: Seamless integration and data access. 🔒 Securing Azure Data Lake: Implementing robust security measures. 🔄 Databricks Workflow: Creating efficient data pipelines. 🗂️ Delta Lake: Leveraging Delta Lake for optimized data storage and management. 🛠️ Azure Data Factory: Orchestrating data movement and transformation. 📊 Unity Catalog: Managing data assets and ensuring data governance. 🧩 Spark DataFrame API: Working with DataFrames for scalable data processing. 🧮 Spark SQL: Executing SQL queries on massive datasets. A big thank you to everyone who supported me along the way. I’m excited to apply these skills to drive data-driven decisions and innovations. #AzureDatabricks #DataEngineering #Spark #PySpark #SQL #DataScience #BigData #Azure #CloudComputing #Certification #Learning