#Data Analysis Software Options

Comment “Link” to get link of these courses Unlock Your Data Analytics Potential with Free Courses! 🌟 Are you passionate about data analytics and eager to advance your career without spending a dime? We’ve curated the top 3 free data analyst courses that not only provide valuable knowledge but also come with certifications to boost your resume: ✅1. Power PA Data Analyst Professional Certificate by Microsoft: This course offers comprehensive training from industry experts at Microsoft. Learn how to analyze data, create reports, and make data-driven decisions with advanced tools and techniques. ✅2. Data Analyst Professional Certificate by Meta: Dive into data analytics with Meta’s specialised course. Gain insights into the latest data analysis methodologies and tools used by professionals at Meta, and develop skills that are in high demand in the tech industry. ✅3. Data Analyst Capstone Project by IBM: This project-based course from IBM allows you to work on real-world data analysis projects. Get hands-on experience with IBM’s advanced analytics tools and showcase your skills with a recognized certification. To get these free courses link, 1.Share this video 2.Follow @qriocity.in 3.Comment “Link” in comment box Turn on 🔔 notification on this profile & so that you don’t miss our posts. #learnforfree #dataanalytics #careerboost

Comment “project” for my full video that breaks each of these projects down in detail with examples from my own work. If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT or Claude! Here are the 3 types of projects you need: ↳Exploratory Data Analysis (EDA): Exploring a dataset to uncover insights through descriptive statistics (averages, ranges, distributions) and data visualization, including analyzing relationships between variables ↳Full Stack Data Analytics Project: An end-to-end project that covers the entire data pipeline: wrangling data from a database, cleaning and transforming it. It demonstrates proficiency across multiple tools, not just one. ↳Funnel Analysis: Tracking users or items move from point A to point B, and how many make it through each step in between. This demonstrates a deeper level of business thinking by analyzing the process from beginning to end and providing actionable recommendations to improve it Save this video for later + send to a data friend!

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

Stop suffering in silence. These tools will level up your analysis game! Which one’s your fav? Comment down👇🏻 #dataanalysis #phdlife #statsmadeeasy #dataanalysis #rstats #prism #researchtools #scientificreels #academiaa #phd #phdwithanjali #juliusai @try_julius.ai

3 AI tools you need if you hate doing data analysis work! Of course, this is AI so please exercise critical thinking with AI generated reports or analysis #dataanalysis #aitools

Data analyst full roadmap Data Scientist Roadmap in Telugu - master the path from zero to hero How to Become Data Scientist in 2025 - step-by-step + free resources Free Tools & Resources for Data Science - no investment needed [datascientist, datascience, data, ai, machinelearning, python, dataanalytics, analytics, deeplearning, datavisualization, Free resources, Telugu, roadmap, Data analytics, Jobs, Internships] [hiring, google, hiringnow, data analyst, internship] #google #hiring #hiringalert #hiringjobs #dataanalyst

Are data analysts and business analysts cooked in 2026 because of AI?

Data Analyst vs Business Analyst – which one is actually right for you as both work with data? Here's the thing, both the roles are similar but they don’t do the same job. Data Analyst lives in SQL, Excel, Python, dashboards, and trends. Answers: “What is happening in the data?” While business Analyst lives in meetings, requirements, stakeholders, and roadmaps. Answers: “So what should the business do next?” The right choice depends on whether you enjoy coding & deep analysis or business problems & communication. Save this if you’re confused between the two paths. [data analyst vs business analyst, data analyst role, business analyst role, analytics careers, tech careers, sql, stakeholder management] #dataanalyst #businessanalyst #analyticscareers #techcareers #sql

🎯 Data Science vs Data Analytics — What’s the Difference & Which One’s for YOU? Both are booming fields. Both are in-demand. But they’re NOT the same! In this reel, we break down the core differences between Data Science and Data Analytics so you can pick the right path and future-proof your career. 💻📉🔍 🚀 Covered in the reel: 📌 What each role actually does 📌 Tools & skills you need to learn (Python, SQL, Tableau, ML, etc.) 📌 Career paths & job roles 📌 Average salaries & global demand 📌 Which one is better for freshers? 💡 Data Analysts focus more on interpreting existing data to make decisions. 💡 Data Scientists build models, predict outcomes, and work with deeper algorithms & machine learning. 🎓 Want to learn which course fits you or apply abroad for Data programs? we’ll guide you with personalized career advice + best universities in India & abroad! #DataScienceVsDataAnalytics #DataScience #DataAnalytics #BigData #MachineLearning #StudyAbroad2025 #CareerInData #SOPeditsOverseas #TechCareers #AnalyticsVsScience #StudyDataScience #DataCareer2025 #IndianStudentsAbroad #AbroadStudies

Free Microsoft Data Analysis Certification: Unlock High-Paying Jobs 🚀 To access the certification course by Microsoft, Like this reel and comment “Microsoft“ and I’ll share all the info 💯 - We discuss a free data analysis certification course by Microsoft that can help you land a high-paying job as a fresher, with a salary range of 10 to 16 lakh rupees per annum. The course is designed and taught by Microsoft experts, and upon completion, you’ll receive a certification that can open doors to opportunities at multiple MNCs, including Microsoft itself. This is an absolutely free course, so don’t miss out on this chance to kickstart your career in data analysis. - #DataAnalysis #MicrosoftCertification #HighPayingJob #FreeOnlineCourse #CareerGrowth #it #placement #interview

Here’s a roadmap to help you go from a software engineer to a data scientist 👩‍💻 👇 If you’re tired of writing vanilla apps and want to build ML systems instead, this one’s for you. Step 1 – Learn Python and SQL (not Java, C++, or JavaScript). → Focus on pandas, numpy, scikit-learn, matplotlib → For SQL: use LeetCode or StrataScratch to practice real-world queries → Don’t just write code—learn to think in data Step 2 – Build your foundation in statistics + math. → Start with Practical Statistics for Data Scientists → Learn: probability, hypothesis testing, confidence intervals, distributions → Brush up on linear algebra (vectors, dot products) and calculus (gradients, chain rule) Step 3 – Learn ML the right way. → Do Andrew Ng’s ML course (Deeplearning.ai) → Master the full pipeline: cleaning → feature engineering → modeling → evaluation → Read Elements of Statistical Learning or Sutton & Barto if you want to go deeper Step 4 – Build 2–3 real, messy projects. → Don’t follow toy tutorials → Use APIs or scrape data, build full pipelines, and deploy using Streamlit or Gradio → Upload everything to GitHub with a clear README Step 5 – Become a storyteller with data. → Read Storytelling with Data by Cole Knaflic → Learn to explain your findings to non-technical teams → Practice communicating precision/recall/F1 in simple language Step 6 – Stay current. Never stop learning. → Follow PapersWithCode (it's now sun-setted, use huggingface.co/papers/trending, ArXiv Sanity, and follow ML practitioners on LinkedIn → Join communities, follow researchers, and keep shipping new experiments ------- Save this for later. Tag a friend who’s trying to make the switch. [software engineer to data scientist, ML career roadmap, python for data science, SQL for ML, statistics for ML, data science career guide, ML project ideas, data storytelling, becoming a data scientist, ML learning path 2025]

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