#Novitech Data Analytics Tools

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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

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

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

🟠Comment '30' and I'll send you data project tutorials on YouTube I made for you🟠

Must-Have Data Analysis Tools for Every Researcher! 🔍📊 From cleaning messy data to creating stunning visualizations and building predictive models, these tools make data analysis easier and more efficient. Whether you’re working on research, business insights, or machine learning, there’s a tool for every need! Want more tips?Follow for more @drfred_phd for more helpful resources to take your research to the next level! #datascience #machinelearning #ai #bigdata #dataanalytics #deeplearning #python #statistics #drfredphd #datavisualization #neuralnetworks #coding #datadriven #artificialintelligence #tech #programming #analytics #phdlife #phdstudent #research #phdjourney #science #academia #thesis #gradschool #phdproblems #dissertation #academiclife #phdstudentlife

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

How I built this data analytics project that uses LLMs to interpret multimodal data (KPI images)! ↳ Pulled the KPI images from a PDF ↳ Connected to OpenAI’s GPT-4 nano ↳ Input prompt & images into LLM ↳ Wrote the results to a report PDF (and I did it without any code too 😉) I used @knimesoftware to put together all the steps visually and create this analysis! It’s free and open source, so you can do it too! KNIME owns the entire data analytics pipeline and makes it really easy to follow the logic from raw data to final output. And it has so many data connections so you can pull data from spreadsheets, databases, APIs, cloud services, and more! Try KNIME today! #data #dataanalytics #knime #project #ai

🚨 Want to become a Data Analyst but don’t know where to start? 👀 I’ve got you covered — Microsoft has launched a dedicated learning path with free resources to help you master Data Analytics step by step! 📊 💬 Comment “DATA” and I’ll DM you the complete roadmap + official Microsoft resources. ✅ Beginner to advanced topics covered ✅ 100% FREE learning materials ✅ Certificate-ready path to build your career 🔥 This is your sign to start learning data analytics the right way — straight from Microsoft! 🚀

Comment “roadmap” to get the detailed data analytics roadmap✨🌟 . . {roadmap, data analytics, skill, it, students}

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

Want to become a Data Analyst in 2026? Start with these tools 👇 ✔ Excel ✔ SQL ✔ Python ✔ Tableau / Power BI These are used by almost every data team. Follow @datagyaan.ai to learn Data Analytics step-by-step 🚀 #dataanalytics #learnsql #pythonforanalysis #analyticscareer #datasciencejourney