#Data Analysis With Python Eda

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

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!

Simple exploratory data analysis in python. More #python3 and #MachineLearning In my page and YouTube channel. 📽️ . . #pythoncodesnippets #pythonbeginner #pythontips #girlswhocode #womenincode #java #html #js #girlsintech #dataviz #whomenwhocode #linux #eda #datascientists

!! New Project Uploaded !! 🚀 Real Project – 14 | Salary Data Analysis Using Python | Python Coding for Data Science Watch on YouTube (copy-paste) - https://youtu.be/TLIotspGcng You will learn the complete data analysis workflow, just like in real industry projects: ✅ Data Understanding & Exploration (EDA) ✅ Data Cleaning & Handling Duplicates ✅ Outlier Detection using IQR Method ✅ Data Visualization using Matplotlib & Seaborn ✅ Business Questions & Insights ✅ Correlation Analysis ✅ Advanced Charts (Scatter, Line, Histogram, Dashboard) ✅ Final Mini Dashboard ✅ Portfolio-Ready Project #datasciencewithrg #datasciencelovers #python #project #dataanalysis #dataanalytics #coding #salarydataanalysis #pythonproject #datascience #dataanalytics #datavisualization #datasciencelovers

You only need to learn these 10 Python Topics to crack any data analyst interview #python #sql #dataanalyst

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

DATA ANALYTICS ROADMAP (0 → Job Ready) Reality check: You don’t need coding mastery, fancy degrees, or 10 tools. You need strong basics + projects + storytelling + consistency. PHASE 0: Mindset & Setup (1 Week) What to understand first Data Analytics ≠ Data Science Your job is to answer business questions using data Tools are secondary, thinking is primary Setup Laptop Google account Install: Excel / Google Sheets MySQL / PostgreSQL VS Code or Jupyter Notebook Power BI (free version) PHASE 1: EXCEL (Foundation Tool) – 2 to 3 Weeks 80% companies still test Excel in interviews What to learn (IN THIS ORDER) Basics Rows, columns, formatting Functions SUM, AVERAGE, COUNT IF, AND, OR VLOOKUP / XLOOKUP INDEX + MATCH Data Cleaning Remove duplicates Text to columns TRIM, CLEAN Pivot Tables Grouping Filters Charts Bar, Line, Pie Mini Project 👉 Sales Analysis Dashboard in Excel Monthly sales Top products Region-wise revenue 📌 This becomes Project 1 PHASE 2: SQL (MOST IMPORTANT) – 3 to 4 Weeks SQL is a job gatekeeper. No SQL = No shortlist. What to learn Basics SELECT, WHERE, ORDER BY Filtering AND, OR, IN, BETWEEN, LIKE Aggregations COUNT, SUM, AVG GROUP BY, HAVING Joins INNER LEFT RIGHT Subqueries Window Functions ROW_NUMBER RANK DENSE_RANK Practice Write daily 5–10 queries Explain your logic in words Project 👉 E-commerce Database Analysis Top customers Repeat orders Revenue trends 📌 Project 2 PHASE 3: PYTHON (Only What You Need) – 3 Weeks You are not becoming a Python developer What to learn Basics Variables Loops Conditions Libraries NumPy Pandas Matplotlib / Seaborn Data Tasks Read CSV Handle missing values Filter & sort data Simple EDA Project 👉 Diwali Sales / Zomato / Netflix Data Analysis Clean data Insights Visualizations 📌 Project 3 PHASE 4: POWER BI / TABLEAU – 2 Weeks This is where you look job-ready What to learn Data Import Relationships DAX Basics SUM CALCULATE FILTER Dashboards Storytelling Project 👉 Business Performance Dashboard KPIs Trends Insights slide 📌 Project 4 Comment for complete roadmap and resources✨

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 Analytics interviews does not require complex Python Programming knowledge. I have created a PDF which contains required Python syllabus and free resources to learn. Please comment “Python” to get the PDF directly to your DM !! #python #coding #programming #2025 #tech #datascience #dataanalytics

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

Unlock the core tools every data scientist should know! From writing powerful code to building predictive models, these essentials form the backbone of modern data science. 💻 Programming: Python and R make it easy to clean data, automate workflows, and build advanced analytics. 📊 Data Analysis: Pandas and NumPy help you manipulate large datasets, while Jupyter provides an interactive space to experiment and visualize results. 📈 Visualization: Matplotlib, Seaborn, and Plotly turn raw numbers into clear, insightful visuals that tell meaningful stories. 📉 Business Intelligence: Power BI and Tableau transform dashboards into decisions — helping teams track performance and uncover trends. 🤖 Machine Learning: Scikit-learn and PyTorch power everything from simple models to deep learning systems that predict, classify, and optimize. If you’re exploring data science or leveling up your skills, mastering these tools will give you a solid foundation to build real-world projects and stand out in the field. 🚀 🔑 Suggested Keywords data science tools, python, r programming, pandas, numpy, jupyter notebook, data visualization, matplotlib, seaborn, plotly, tableau, power bi, machine learning, scikit learn, pytorch, data analytics, beginner data science, learn data science, ai tools 📢 Hashtags #DataScience #MachineLearning #Python #RProgramming #DataAnalytics Pandas NumPy Jupyter Visualization Matplotlib Seaborn Plotly PowerBI Tableau ScikitLearn PyTorch AI TechEducation LearnDataScience DataTools

Do you know how to write a loop in a single line using list comprehension in python. #list #pythoncode #codelikedeveloper #logic #programming