#Loops In Data Analytics

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🚀 Data Analytics Roadmap 2025 — Start from scratch & build real skills in just 4 months! 🔹 Phase 1: Getting Started (Weeks 1–4) • SQL (Beginner to Intermediate) – Learn basics like SELECT, WHERE, GROUP BY, and JOINS. Use YouTube or Udemy. • Python Basics – Understand data types, loops, and functions. Learn from YouTube, Udemy, or practice on LeetCode. • Excel Skills – Get confident with formulas, VLOOKUP, pivot tables, and cleaning data. 🔹 Phase 2: Building Skills (Weeks 5–8) • Advanced SQL – Try challenges on LeetCode, Data Lemur, or WiseOwl. Focus on CTEs and window functions. • Python (Next Level) – Work on real coding problems on HackerRank or LeetCode using data structures. • Power BI or Tableau – Start making dashboards. Learn through YouTube or Udemy. 🔹 Phase 3: Real Projects (Weeks 9–16) • Pandas or PySpark – Do data analysis on real datasets from Kaggle using Jupyter or Google Colab. • Dashboard Projects – Build full dashboards using free datasets (Kaggle/Datacamp). • SQL Deep Dive – Master complex queries like nested ones and advanced functions. • ETL & Data Warehousing – Learn the basics from ChatGPT, TutorialsPoint, or Udemy. 🎯 Portfolio Tips • Upload all projects to GitHub • Improve your LinkedIn profile • Share your progress, dashboards, and tips regularly 📚 Helpful Resources • SQL: W3Schools (for theory), LeetCode/Data Lemur (for practice) • Python: YouTube, Udemy, LeetCode • BI Tools: Power BI, Tableau – try WiseOwl or Datacamp • ETL & Data Warehousing: TutorialsPoint, ChatGPT • Pandas/PySpark: Kaggle, Datacamp 👉 Follow for more tips on becoming a Data Analyst! [data analyst roadmap 2025, data analytics learning path, beginner to data analyst, how to become a data analyst, data analyst learning guide, data analytics career roadmap, SQL for data analyst, Python for analytics, data analyst projects, GitHub portfolio for analyst, Power BI learning roadmap, Tableau beginner guide, ETL basics for analysts] #DataAnalytics #DataAnalystRoadmap #LearnSQL #PythonForData #ExcelSkills #PowerBI #Tableau #ETL #Pandas #PySpark #KaggleProjects #AnalyticsPortfolio #CareerInData #DataScienceTips #DataAnalytics2025 #RoadmapToSuccess #

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Free Course From Google 😎 If you’re trying to shift into analytics, there’s no better place to start than a course provided by Google. This course will get you on the right track to becoming and expert. You’ll even learn how to do some coding make some visuals! Follow for more free coding resources ✅ #code #coding #tech #learntocode #data

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🔥Data Analytics Course | Python Mock Test Completed Successfully at Besant Technologies Siruseri 🔥 💻✅ *Another milestone unlocked by our amazing learners!* *Today marks the successful completion of the Python Mock Test, where aspiring programmers proved their skills, logic, and determination. From syntax to scripts, loops to logic building – you all nailed it!* 🐍💯 *💬 Why Mock Tests Matter?* *Mock tests aren't just practice—they’re preparation for the real world. They build confidence, reveal strengths, and spotlight areas to improve. Every line of code written today is a step closer to becoming a Python pro!* 💪💻 *Dream + Hardwork = Success*💯🎯🔥 👉 Flexible Batch Size 👉 Real Time Working Professional Trainers 👉 100% Practical Sessions with Real Time Projects 👉 100% Job Guarantee 𝐖𝐞 𝐎𝐟𝐟𝐞𝐫 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐆𝐮𝐚𝐫𝐚𝐧𝐭𝐞𝐞 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 (𝐀𝐧𝐲 𝐃𝐞𝐠𝐫𝐞𝐞 / 𝐃𝐢𝐩𝐥𝐨𝐦𝐚 𝐂𝐚𝐧𝐝𝐢𝐝𝐚𝐭𝐞𝐬 / 𝐘𝐞𝐚𝐫 𝐆𝐀𝐏 / 𝐍𝐨𝐧-𝐈𝐓 . 𝐀𝐧𝐲 𝐏𝐚𝐬𝐬𝐞𝐝 𝐎𝐮𝐭𝐬). 𝐓𝐨𝐩 𝟓 𝐆𝐮𝐚𝐫𝐚𝐧𝐭𝐞𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬: #fullstackdeveloper #cloudcomputing #datascience #dataanalytics #softwaredeveloper @besant_technologies_omr_siruseri_branch 𝑪𝒉𝒆𝒄𝒌 1𝒌+ 𝑷𝒍𝒂𝒄𝒆𝒅 𝑺𝒕𝒖𝒅𝒆𝒏𝒕𝒔 𝑽𝒊𝒅𝒆𝒐 𝑹𝒆𝒗𝒊𝒆𝒘𝒔 👉 𝒉𝒕𝒕𝒑𝒔://𝒘𝒘𝒘.𝒚𝒐𝒖𝒕𝒖𝒃𝒆.𝒄𝒐𝒎/@𝒃𝒆𝒔𝒂𝒏𝒕𝒕𝒆𝒄𝒉/𝒗𝒊𝒅𝒆𝒐𝒔 🔥 Facebook 👉 https://rb.gy/lnhqhr Youtube 👉 https://rb.gy/lray7b Instagram 👉 https://rb.gy/3jn471 Linkedin 👉 https://rb.gy/92ultf *For More Information Call Us On*: Kindly Contact Us 📞 +91 9840315241 / 7338893057 @BesantTechnologies @PrabakaranDuraipandian @SathishkumarSubburaj 🌎 Or Visit Us At : https://rb.gy/mws6we *Website* https://www.besanttechnologies.com/placed-students-list ```Besant Technologies Omr & Siruseri No 4/217A, 2nd Floor, Jeeva Tower, OMR, Siruseri, opposite A2B Restaurant, Egattur, Chennai, Tamil Nadu 600130``` #chennai #siruseri #tamilnadu #besanttechnologies #banglore #velachery #besnttechnologiessiruseri #itzvchandru #python #mocktest #dataanalytics

Hi, I am Prerna and I work as a data analyst in fin-tech company. Here is how I cracked few interviews as fresher, a year back. 1. Start with Excel. Start with basics things first. Do not spend much time in reading about things, rather download a dummy data set from Kaggle and start practicing. Practice formulas like Vlookup, Index, match, aggregate functions as much as possible. 10 days would be enough for excel. 2. After Excel, start with SQL. Again, do not spend much time in reading stuffs, rather start practicing questions from leetcode after you get a basic idea. Most important things to focus on- Window functions JOINS CTE’s SQL Query Optimization Practice SQL as much as possible. Some questions are literally asked in most of the interviews, on repeat. So, get hands on with them. Comment for links if you want pdf. 3. Lastly, start with Python. Learn basics like syntax, loops, functions. Practice a few questions, and then start with NumPy and Pandas Libraries. Once you know the basics, these libraries will be very easy to learn. I learnt python from Udemy. It will hardly take 15 days to complete- enough to know basics. Then, again start practicing questions from leetcode. ✨After you are done with all three above, start with Power BI or Tableau. I personally prefer Power BI because it is quite easy to understand. 10 days is enough to learn the basics. ✨Once you have a basic idea on all these, start creating projects. Download small data sets first, practice with them. Whatever you do in Excel, try doing the same using SQL and Python. Then, slowly begin with large data sets. Create new, unique projects for resume. Use all the tools, and create end to end project from data cleaning to data visualization in BI. ✨All these will take around 2.5 months. Then start applying for jobs. Give interviews, as much as possible. Practice SQL and Py daily. ✨Tailor your resume, frequently. Once you gain confidence in all of the skills above, start up-skilling. Learning ML, GenAI etc are added advantage. For that, start with statistics first. Very important. Hope this helped. 🫶🏻 Data analyst, data analytics, start ups, interviews, freshers, fyp

Python topics for Data Analyst- Save the reel, share with your friends and Follow me for more useful content 📌 Here is the list- ➡️ Basics of Python: Python Syntax Data Types Lists Tuples Dictionaries Sets Variables Operators Control Structures: if-elif-else Loops Break & Continue try-except block Functions Modules & Packages Then jump to data analytics python libraries- ➡️ Pandas: What is Pandas & imports? Pandas Data Structures (Series, DataFrame, Index) Working with DataFrames: -> Creating DFs -> Accessing Data in DFs Filtering & Selecting Data -> Adding & Removing Columns -> Merging & Joining in DFs -> Grouping and Aggregating Data -> Pivot Tables Input/Output Operations with Pandas: -> Reading & Writing CSV Files -> Reading & Writing Excel Files -> Reading & Writing SQL Databases -> Reading & Writing JSON Files -> Reading & Writing - Text & Binary Files ➡️ Numpy: What is NumPy & imports? NumPy Arrays NumPy Array Operations: Creating Arrays Accessing Array Elements Slicing & Indexing Reshaping, Combining & Arrays Arithmetic Operations Broadcasting Mathematical Functions Statistical Functions ---------------- Hope this helps you 🙏 If you want it in your DM, plz comment 'Yes' #powerbi #sql #python #pandas #numpy #dataanalytics #learnwidgiggs

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✅ Here are the topics to learn in Python for a data analyst: ➡️Basic Python - Variables, data types, and operators - Control structures (if/else, for loops, while loops) - Functions and modules - Data structures (lists, dictionaries, sets) ➡️Data Analysis📈 - NumPy and Pandas libraries - Data cleaning and preprocessing - Data visualization (Matplotlib, Seaborn) - Data manipulation and analysis (groupby, merge, pivot tables) ➡️Data Visualization📊 - Matplotlib and Seaborn libraries - Plotting (line plots, scatter plots, bar plots) - Charting (histograms, box plots, heatmaps) - Interactive visualizations (Bokeh, Plotly) ➡️Data Handling 🗂️ - Importing and exporting data (CSV, Excel, SQL) - Data wrangling and preprocessing - Data storage and management (Pandas DataFrames) ➡️Statistics 📊 - Descriptive statistics (mean, median, mode) - Inferential statistics (hypothesis testing, confidence intervals) - Regression analysis ➡️Data Storytelling👩‍💻 - Communicating insights and results - Creating interactive dashboards - Data visualization best practices ✅ Work on projects and exercises to reinforce your learning. ✅ Follow @techtip24 Aditi Gupta Analytics Mentor #python #dataanalyst #onlinelearning #DataAnalytics

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