#Technical Analyst

Technical Analysis for Beginners #nicholascrown #investor #trading #technicalanalysis #technicalanalyst #investing #investment

Here’s thing i wish i knew before becoming a data analyst 📊 1. SQL is your best friend — it gets you through 80% of the work. 2. Excel isn’t basic — pivot tables & formulas are used daily. 3. Visualization tools (Tableau/Power BI) make you stand out. 4. Communication > technical sometimes — if you can’t explain insights, they don’t matter. 5. You don’t need 100 certifications — projects & practice speak louder. 6. Most of your time is data cleaning — not fancy dashboards. 7. Business understanding is key — knowing why the data matters is more valuable than just coding. 8. Networking gets you jobs faster than applications — LinkedIn visibility + projects > sending 500 resumes [data analytics,data analyst, corporate, data]

Repost to share with friends ♻️ Here’s how to become a data analyst in 2026 and beyond? 📈 The original video was 5 minutes long and I had to cut it down to 3 minutes because instagram. One part that got cut off was the job market. Should I post a part 2? what are other skills that would you add to the list?? #dataanalysis #dataanalyst #sql #python

I come from a Pharm.D background. I knew I didn’t want to be in hospitals, but I had no clue how to break into a completely different field — especially one like data. What I did know? I had an analytical mindset. I liked solving problems. I just needed a roadmap. So I built my skillset around what entry-level roles actually expect: ✅ Excel – Not just data entry. I learned formulas, pivot tables, and how to build dashboards that tell a story. ✅ SQL – I focused on writing clean queries that answer real business questions. Practiced joins, filters, subqueries. ✅ Power BI / Tableau – I built dashboards from free datasets, trying to make them simple and clear — like they were telling me something. ✅ Communication – I used to underestimate this, but explaining data in simple words is a big part of the job. ✅ Problem Solving – googled like crazy. Made small messy projects and kept showing up even when it didn’t “look” perfect. 📥 save this post if you’re building your roadmap to break into analytics. 💬 have questions about switching from non-tech to tech? Just DM me - always happy to help if i can. 📍follow for practical content on career transitions and lifestyle . . . . . . #pharmacytotech #careertransition #nontechtoanalytics #dataanalytics #entryleveldataanalyst #switchingtotech #careerchange #techskills #selflearned #upskilljourney #breakingintotech #sqlskills #excelskills #dashboarddesign #powerbi #analyticsjobs #reelitfeelit #trending #reel #frompharmacytotech #womenintech #workinggirllife #datacareers

People think data analytics = intense coding. It’s really not. Anyone can learn it, and you lose nothing by trying! Most people feel empowered and inspired after running their first line of code within 20 minutes. It’s a powerful feeling. #dataanalytics #careerchange #techtransition #breakintotech #quityourjob #startyourcareer #jobsearch #linkedintips #highincomeskills

watch this if you want to become a data analyst in 2026, these are my top simple tips 📊 1. Learn SQL: its the tool you’ll use to get data from databases, and then use to analyse business performance 2. Learn Excel or something similar: it’s great for ad hoc analysis and building engaging charts and diagrams 3. Get familiar with a reporting tool, you don’t need to be great at this just an understanding is fine 4. The core skills are communicating your insights clearly and understanding business metrics Save this and come back to it when you’re planning what to learn, I have links on my profile for courses/guides for each of these aspects!

You cannot become a data analyst if you can’t do these things (shared the tools I use in the end)🔥🔥 Follow @onestopdata for data related content! ✅The most imp thing data analysts do is to understand the business requirements. (1) Gathering Data This means collecting data from different sources. Many a times this is done in collaboration with data engineers and architects hence usually the data analyst doesn’t have to do a lot in this. (2) Cleaning Data Going through the data and trying to understand it, making corrections where needed such as removing outliers or data that should not be included in the analysis. This step can take a lot of time, but understanding the data is crucial before you start to process it. (3) Processing data The data processing part of the process is where I use my skills and tools to analyze the work and come up with solutions for the problem at hand. (4) Creating reports for business leaders As an analyst, a lot of my time goes into creating and maintaining reports/dashboards for stakeholders and business leaders. This means showing the metrics and KPIs in the best manner possible to help drive business decisions. The best analysts are those that can use data to tell a story. (5) Collaborating with people This one is my favorite! As a data analyst, you work with many people across departments, both senior and junior. You’ll also likely collaborate closely with other people who work in data science like data architects and database developers. Tools I use: Excel,PowerBI,SQL and Python(sometimes) #dataanalytics #onestopdata #datacleaning #dataprocessing #dashboard #reports #sql #powerbi #excel #python

🚀 2-Month Roadmap to Data Analyst Mastery 📊 👉 SAVE THIS to become data Pro! 👈 Otherwise, you’ll miss out on learning how to become an SQL Expert! Month 1: Week 1-2: 📚 Foundation Building: • Master the basics of statistics, SQL, and Python/R through online courses and tutorials. Focus on understanding data structures and manipulation. Week 3-4: 🔍 Dive into Data Exploration: • Practice data analysis techniques using datasets from platforms like Kaggle. Learn to clean, preprocess, and visualize data to extract meaningful insights. Month 2: Week 1-2: 💼 Real-world Applications: • Engage in hands-on projects or internships to apply your skills to real business problems. Collaborate with peers and seek feedback to refine your approach. Week 3-4: 📈 Advanced Techniques: • Explore advanced topics such as machine learning algorithms, predictive modeling, and data storytelling. Experiment with different tools and techniques to enhance your analytical capabilities. 🎓 Congratulations! You’ve completed your 2-month journey to becoming a proficient data analyst. Remember to stay curious, keep learning, and embrace challenges as opportunities for growth. #DataAnalyst #CareerGrowth #DataSkills 🌟 #sqldatabase #sqlite #datascientist #datasciences #sqltraining #sqlinterview #dataanalystics #dataanalysis

1. QUALIFY + ROW_NUMBER() Lets you rank rows and filter results in the same query — perfect for grabbing the most recent or top record without subqueries. 2. LAG / LEAD Used to look at the previous or next row — great for comparing changes over time (day-over-day, month-over-month). 3. CTE (WITH clause) Creates a temporary, named query so you can break complex SQL into clean, readable steps. #data #analyst #dayinthelife #dadlife #sql

If I had to become a Data Analyst in 2026, I wouldn’t overcomplicate it - I’d follow this exact path. Comment “DATA” and we’ll send you the exact course links to get started. Follow @migratemate for international student job tips that actually lead to offers. IB: ando.productions #dataanalyst #datacareers #sql #powerbi #techjobs

If you’re starting your Data Analyst journey or want to grow in your role, certifications can help you stand out. Here are 5 top certifications to consider: 1. Microsoft Certified: Power BI Data Analyst Associate - Master Power BI for creating impactful visuals. Link : https://learn.microsoft.com/en-us/credentials/certifications/data-analyst-associate/?practice-assessment-type=certification 2. Google Data Analytics Certification Learn the basics like SQL, Excel, and Tableau. Link : https://grow.google/intl/en_in/data-analytics-course/ 3. Meta Data Analyst Professional Certificate Hands-on with SQL, Python, and visualization. Link : https://www.coursera.org/professional-certificates/meta-data-analyst 4. IBM Data Analyst Professional Certificate Develop skills in Excel, Python, and SQL. Link : https://www.coursera.org/professional-certificates/ibm-data-analyst 5. Tableau Certified Data Analyst Become a pro in building dashboards with Tableau. Link : https://www.tableau.com/learn/certification/certified-data-analyst Certifications like these are a great way to validate your skills, build confidence, and stand out to recruiters. Which one are you planning to pursue? Let me know in the comments! Follow @jayenthakker Dedicated to helping aspiring data analysts thrive in their careers. ➕ Follow @metricminds.in for more tips, insights, and support on your data journey! #DataAnalytics #DataAnalysts #Tableau #freeresources #onlinecourses

Follow @Jonathanwordsofwisdom for more!👀💡 Don’t waste your time applying to Data Analyst jobs on Linkedin or Indeed 👀💡 Instead, go where the data actually matters: 1) @kaggleofficial Jobs Board — It’s where companies post roles looking specifically for people who actually know SQL, Python, and ML basics. 2) @jobboardai — This lets you find Data Analyst roles tailored exactly to your experience – and rewrites your resume & cover letter for each job. 3) OpenDataScience Jobs — This is where mid-level and senior analysts actually get hired, and yes – companies posting here actually read applications. Here are 10 more data-analyst-friendly job boards you should check out: 4) DataJobs.com — https://datajobs.com 5) Ai-jobs.net — https://ai-jobs.net 6) icrunchdata (Data Analyst) — https://icrunchdata.com/data-analyst-jobs/ 7) DataAnalyst.com — https://www.dataanalyst.com/ 8) Built In — https://builtin.com/jobs/data-analytics/data-science 9) @wellfoundhq (formerly AngelList Talent) — https://wellfound.com/jobs/data-analytics 10) DataYoshi — https://datayoshi.com/jobs (part of BetterTeam list) 11) Braintrust (Data Science Board) — https://www.usebraintrust.com/job-boards/data-science 12) DataCareers.com — https://www.datacareers.com/ 13) @kdnuggets Jobs — https://www.kdnuggets.com/jobs/index.html Use these niche boards and you’ll spend less time applying and more time actually getting hired. Let me know if you have any questions! #JobTips #JobSearch #JobMarket #resume #resumetips #linkedin #linkedintips #career #job #careertips #interview #interviewtips #jobinterview #resumai #jwow #wonsulting