#Sendquick Data Analytics Strategy

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

Fundamentals Every Data Analyst Must Master!📊 SQL is one of the most important skills for anyone working with data🚀 Before jumping into advanced queries, it's crucial to build a strong foundation - because every dashboard, report, and analysis starts with structured data. Here are key SQL concepts every beginner should understand:⤵️ ✅Databases & Tables - how data is stored in rows and columns ✅Core Commands - CREATE, INSERT, SELECT, UPDATE, DELETE ✅Filtering Data - using WHERE, IN, BETWEEN, and LIKE ✅Sorting & Grouping - ORDER BY, GROUP BY, and HAVING ✅Handling Missing Values - working with NULL, IS NULL, IS NOT NULL ✅Data Integrity Rules - constraints like PRIMARY KEY and FOREIGN KEY ✅Combining Results - UNION, INTERSECT, EXCEPT SQL isn't just a tool - it's the language of structured data. If you're learning data analytics, mastering these fundamentals will take you very far. Do well to follow @analyst_shubhi for more posts on Data analysis, Data science, Al and Machine learning. #SQL #DataAnalytics #DataScience #LearningSQL #Database

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!

5 Data Analyst Projects That Can Get You Hired (With Tutorials) Most portfolios are filled with the same boring projects everyone else does. These five stand out because they solve real business problems and show recruiters you can think, not just code. Here are the 5 projects: 1. Sales Data Dashboard Build an interactive dashboard analyzing sales trends, revenue by region, and product performance using Excel, Power BI, or Tableau 📎 Tutorial: https://www.youtube.com/watch?v=fZn83JRt4Nk 2. Customer Segmentation Analysis Use Python and K-means clustering to segment customers based on behavior and create targeted marketing strategies 📎 Tutorial: https://365datascience.com/tutorials/python-tutorials/build-customer-segmentation-models/ 3. SQL Database Analysis Query and analyze customer purchase patterns, retention rates, and lifetime value using SQL 📎 Tutorial: https://www.geeksforgeeks.org/sql/customer-behavior-analysis-in-sql/ 4. Time Series Forecasting Predict future sales or trends using Python with ARIMA or Prophet models to demonstrate forecasting skills 📎 Tutorial: https://www.digitalocean.com/community/tutorials/a-guide-to-time-series-forecasting-with-prophet-in-python-3 5. A/B Testing Framework Design and analyze an A/B test to optimize website conversions or marketing campaigns using statistical testing 📎 Tutorial: https://www.kdnuggets.com/a-complete-guide-to-a-b-testing-in-python These aren't just tutorials you follow. They're projects that demonstrate real business impact, clean code, and the ability to communicate insights. Recruiters check GitHub. Make sure yours has well-documented projects that show practical impact, not just technical skills. Save this and start building. [dataanalyst, data, analyst, analytics, portfolio, projects, SQL, python, powerbi, tableau, excel, dashboard, visualization, forecasting, machinelearning, career, job, hired, beginner, tutorial, github, skills, business, insights, statistics, segmentation, testing, resume] #dataanalyst #dataanalysis #portfolio #projects

People are spending ₹10,000–₹20,000 on data analytics courses…👇🏻✅🤑🤯 but most of that content is already available for free. The real problem is not lack of resources… 👉 it’s lack of practice and direction Platforms like: 👉 Kaggle (real-world datasets + projects) 👉 YouTube (structured learning if used right) 👉 GitHub (real project exposure) can actually teach you more than most paid courses — if you use them properly. Don’t just keep learning… 👉 start building. Save this if you’re serious about your data career. #DataAnalytics #LearnDataAnalytics #TechCareers #CareerGrowth #dataanalyst

Data Analytics Road map (6-9 months) https://drive.google.com/drive/folders/17KOCp6F1JGqOCwIdryzcDykNCSu93Ltc?usp=sharing Built from my personal interview experiences(Interviews given - 5+) Duration - 1-2 Months - Basics Learn basic - intermediate SQL(joins) from youtube/udemy Basic Python from youtube/udemy/Leetcode Basic Excel Duration 2-3 Months - Intermediate Practice intermediate to advanced SQL on Data Lemur/Leetcode/WiseOwl Practice easy-intermediate python questions on Leetcode/Hackerrank Start BI - Power BI tutorial from youtube/udemy Duration 3-4 Months - Advanced Learn Pandas/pyspark, practice EDA on csv files from Kaggle datasets on jupyter notebook/colab Practice advanced SQL questions(window functions) Build BI projects from kaggle datasets/Datacamp Github profile to showcase your projects + LinkedIn Theoretical knowledge on ETL pipelines/ Data warehousing concepts(Chat GPT) Resources SQL - Theory - W3Schools(free)/Udemy(paid), Practice - Leetcode/Data Lemur Python - Theory - Youtube/Udemy, Practice - Leetcode(easy to medium) Data Warehousing+ETL - Tutorials Point/Udemy, Datacamp/Chat GPT Power BI/Tableau - Datacamp, wiseowl Pandas/Pyspark - Datacamp, Leetcode, Kaggle Basic Excel . . . . . . #big4 #fyp #data #analytics #ootd #grwm

FREE Data Analytics learning resources. Seriously, start here before paying for any courses. These are FREE & a great introduction for any skill you want to learn. - SQL: https://www.youtube.com/watch?v=7S_tz1z_5bA - Excel: https://www.youtube.com/watch?v=pCJ15nGFgVg - Tableau: https://www.youtube.com/watch?v=aHaOIvR00So - Python: https://www.youtube.com/watch?v=LHBE6Q9XlzI #dataanalytics #dataanalyst #datascience #womenintech #aiengineering #techcareers

Stop wasting hours on repetitive SPSS tasks! ⏱ Here are 3 tricks that make your analysis lightning-fast ⚡. ✔ Value Labels ✔ Instant Frequencies ✔ Split File Analysis Which one will you try first? Follow for advanced SPSS analytics and market research insights. #spss #spssanalysis #dataanalysis #marketresearch #statistics #datascience #researchmethods #analytics #businessanalytics #dataanalyst

here is a step by step approach that i would follow if i had to start in data science and analytics from scratch - ➡️ become a pro at SQL. y’all have no idea how many candidates i have interviewed who are unable to write basic queries using joins and window partitions. you should breathe SQL, it’s like the most basic requirement. ➡️ tools like tableau, powerbi etc sound fancy, but DO NOT waste your time in this. no one really asks questions around these in interviews, and these are actually pretty easy to pick while on the job itself. ➡️ it’s good to know some basic python. knowing your way around manipulating dataframes using pandas and/or numpy is always a plus. ➡️ regularly post your learnings on linkedin, engage with other people’s content, reach out to people in similar fields from your target companies. the more you’re out there, the higher your chances of getting noticed by the correct person. put yourself out there!!! these are some basic tips that should generally work for any beginner. things like statistics, case studies, logical reasoning etc is mostly tested for analysts who have been working for more than a year - will probably delve deeper into this some other time. save this reel if you found it useful and let me know in the comments if you have more questions! #explorepage #creativeedit #pinterestinspo #aestheticedits #pinterestaesthetic #fypage #reelsindia #trendingreels #dayinmylifevlog day in my life, moving to hyderabad, day at work, corporate girl vlog, photo dump, living alone diaries, delhi girl in hyderabad, genz in corporate, romanticising my life, girl in her twenties, exploring hyderabad, data science and analytics, how i got into analytics, career path to become a data scientist or analyst

Biggest Myth In Data Analytics Coding helps, bur its’s Not mandatory to start So stop overthinking and start learning And if you want more details about this course then check out IIM SKILLS Link in the bio #explore #edtech #dataanalytics #onlinecourse

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

Learn DATA ANALYTICS FOR FREE 🔥 • • • If you are interested in learning Data Analytics for Free then, this reel is very important for you as I have made a COMPLETE ROADMAP of what you need to do for the next 6 months along with where you can get the free resources! Do share it amongst your friends and follow @kavach.khanna01 for such value! #dataanalytics #dataanalyticsforfree #learndata #learndatascience #kavachkhanna