Everest Idongesit Obot’s Post

To think about: Dashboards, presentations, spreadsheets, insights value nothing if data is not correct, reflects business and helps on decisions making. They can even cause serious damage. See the post I have found today... and the best answer below. 🤬 Post 1: Angry analyst: "Data Analytics isn't SQL. Data Analytics isn't Python. Data Analytics isn't Tableau. Data Analytics isn't Power BI. Data Analytics isn't R. Data Analytics isn't Statistics. Data Analytics isn't even spreadsheets. Data Analytics is exporting dashboards to Excel for people who make 3 times your salary." 🤓 Post 2: The real analyst answer in picture below. I totally agree with post 2.

📊 Unlocking the Power of Data: Essential Tools for Data Analysts 🚀 As the data-driven landscape continues to evolve, staying updated with the right tools is crucial for any data analyst aiming for excellence. We are excited to share a quick document highlighting the most important tools every data analyst should master. 🔍 Key Highlights: Python: The go-to programming language for data manipulation and analysis. R: A powerful tool for statistical analysis and visualization. SQL: Essential for managing and querying relational databases. Tableau: Leading the way in data visualization and business intelligence. Excel: A classic yet indispensable tool for data organization and preliminary analysis. Power BI: Microsoft's robust tool for transforming raw data into actionable insights. Jupyter Notebooks: Ideal for sharing and presenting data findings in an interactive format. Google Analytics: Crucial for web data analysis and insights. These tools not only enhance your analytical capabilities but also ensure you stay competitive in the ever-changing field of data analytics. 🌟 Whether you’re just starting your journey or looking to expand your skillset, this list is a great starting point. #dataanalytics #beginnersguide #tools #python #SQL #Tableau

Data Analytics isn't SQL. Data Analytics isn't Python. Data Analytics isn't Tableau. Data Analytics isn't Power BI. Data Analytics isn't R. Data Analytics isn't Statistics. Data Analytics isn't even spreadsheets. Data Analytics is exporting dashboards to Excel for people who make 3 times your salary. #exceltips #dataanalytics

Data Analytics isn't SQL. Data Analytics isn't Python. Data Analytics isn't Tableau. Data Analytics isn't Power BI. Data Analytics isn't R. Data Analytics isn't Statistics. Data Analytics isn't even spreadsheets. Data Analytics is exporting dashboards to Excel for people who make 3 times your salary. #data #analytics

Data Analytics isn't SQL. Data Analytics isn't Python. Data Analytics isn't Tableau. Data Analytics isn't Power BI. Data Analytics isn't R. Data Analytics isn't Statistics. Data Analytics isn't even spreadsheets. Data Analytics is exporting dashboards to Excel for people who make 3 times your salary. hashtag #exceltips hashtag #dataanalytics #Copied

Key Learnings -- Data Analyst Journey ✓ Master the Basics - Get solid with SQL, Python, and Excel. These are the core tools for data analysis, and reporting. ✓Data Cleaning First - Clean data is reliable data. Spend time removing duplicates, handling missing values, and standardizing formats. ✓Understand the Business - Know the "why" behind your analysis. Context helps in delivering relevant and actionable insights. ✓Visualize with Power BI & Tableau - Good visuals make data easier to understand. Focus on clarity and simplicity. ✓Communicate Clearly - Avoid jargon; make findings accessible to all stakeholders. ✓Automate Repetitive Tasks - Use SQL scripts, Python, or Excel macros to save time and avoid errors. ✓Learn Stats & Data Modeling - Basics like correlation, regression, and data structuring are essential for interpreting data correctly. ✓Collaborate Across Teams - Work closely with other departments for better, more insightful analyses. ✓Stay Curious - The data field is ever-evolving. Keep learning from online courses and tutorials. ✓Problem-Solving Mindset - Tools come second; focus on solving real problems with data insights. #DataAnalyst #DataModelling #DataCleansing #Analysis #BITools #SQL #Python #Excel

The course milestone I achieved in Data Analyst in Python involved completing numerous projects utilizing visualization tools such as Qlik, Tableau, and Excel. Through these projects, I gained extensive experience in data analysis and visualization, enhancing my confidence in the field. My background in IT facilitated a deeper understanding of the concepts and allowed for more immersive implementation. This skill set is invaluable for my career in Business Analytics as it enables me to effectively analyze data, derive insights, and make data-driven decisions, thereby contributing to the organization's strategic objectives and competitive advantage. #businessanalyst #visualization

Data Analytics isn't SQL. Data Analytics isn't Python. Data Analytics isn't Tableau. Data Analytics isn't Power BI. Data Analytics isn't R. Data Analytics isn't Statistics. Data Analytics isn't even spreadsheets. Data Analytics is exporting dashboards to Excel for people who make 3 times your salary. #Dataanalytics #Data #businessintelligence

🚀 From Spreadsheets to SQL: My Data Skills Evolution 🚀 Happy Monday to all! Transitioning from spreadsheets to SQL has revolutionized the way I handle data. Gone are the days of struggling with large datasets in Excel; now, I can query millions of records in seconds. Mastering SQL has truly been a game-changer for my career as a data analyst. Here’s what I discovered along this journey: - Patience pays off – Learning a new tool may be challenging, but the long-term benefits are invaluable. - Efficiency is key – SQL streamlines data querying and organization, allowing more time for insights. - Never stop learning – Progressing from spreadsheets to SQL was just the beginning. Continual learning is vital, whether it's Python, Power BI, or advanced data techniques. Where are you on your data journey? I’d love to hear how you are advancing your skills! 💡 . . . . . . #SQL #DataAnalytics #TechSkills #LearningJourney #Python #CareerGrowth #DataScience #SpreadsheetsToSQL

Data analytics is more than just mastering tools like Excel, SQL, Python/R, Tableau, or PowerBI. A true data analyst will be able to: ➡️𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐭𝐡𝐞 𝐬𝐭𝐨𝐫𝐲 𝐛𝐞𝐡𝐢𝐧𝐝 𝐭𝐡𝐞 𝐧𝐮𝐦𝐛𝐞𝐫𝐬: Data tells a story, and a skilled analyst can read between the lines to uncover valuable insights. ➡️𝐓𝐮𝐫𝐧 𝐧𝐮𝐦𝐛𝐞𝐫𝐬 𝐢𝐧𝐭𝐨 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬: It's not about manipulating data; it's about transforming it into actionable intelligence that drives decisions. ➡️𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐞 𝐄𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞𝐥𝐲: Sharing insights in a way that resonates with stakeholders and inspires action is crucial. After all, it's not just about the tools you use but how you use them to uncover the stories hidden within the data. Because in the end, it's not just about finding answers, but asking the right questions that lead to meaningful insights and impactful decisions. Keep exploring, keep learning, and keep uncovering the endless possibilities :) Thoughts? #dataanalysis #sql #excel #tableau #powerbi