#Data Analysis Courses

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#Data Analysis Courses Reel by @qriocity.in - Comment "Link" to get link of these courses Unlock Your Data Analytics Potential with Free Courses! 🌟 Are you passionate about data analytics and e
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@qriocity.in
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
#Data Analysis Courses Reel by @askdatadawn (verified account) - FREE Data Analytics learning resources. Seriously, start here before paying for any courses. These are FREE & a great introduction for any skill you
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@askdatadawn
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
#Data Analysis Courses Reel by @phoebeslifeindata - 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 datab
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@phoebeslifeindata
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!
#Data Analysis Courses Reel by @analyticswith_sundeep - 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
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@analyticswith_sundeep
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 Analysis Courses Reel by @jayenthakker - If you're starting your Data Analyst journey or want to grow in your role, certifications can help you stand out. Here are 5 top certifications to co
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@jayenthakker
If you’re starting your Data Analyst journey or want to grow in your role, certifications can help you stand out. Here are 5 top certifications to consider: 1. Microsoft Certified: Power BI Data Analyst Associate - Master Power BI for creating impactful visuals. Link : https://learn.microsoft.com/en-us/credentials/certifications/data-analyst-associate/?practice-assessment-type=certification 2. Google Data Analytics Certification Learn the basics like SQL, Excel, and Tableau. Link : https://grow.google/intl/en_in/data-analytics-course/ 3. Meta Data Analyst Professional Certificate Hands-on with SQL, Python, and visualization. Link : https://www.coursera.org/professional-certificates/meta-data-analyst 4. IBM Data Analyst Professional Certificate Develop skills in Excel, Python, and SQL. Link : https://www.coursera.org/professional-certificates/ibm-data-analyst 5. Tableau Certified Data Analyst Become a pro in building dashboards with Tableau. Link : https://www.tableau.com/learn/certification/certified-data-analyst Certifications like these are a great way to validate your skills, build confidence, and stand out to recruiters. Which one are you planning to pursue? Let me know in the comments! Follow @jayenthakker Dedicated to helping aspiring data analysts thrive in their careers. ➕ Follow @metricminds.in for more tips, insights, and support on your data journey! #DataAnalytics #DataAnalysts #Tableau #freeresources #onlinecourses
#Data Analysis Courses Reel by @sundaskhalidd (verified account) - 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 d
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@sundaskhalidd
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
#Data Analysis Courses Reel by @jessramosdata (verified account) - 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, Ir
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@jessramosdata
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!
#Data Analysis Courses Reel by @datawithsai (verified account) - 5 Data Analyst Projects That Can Get You Hired (With Tutorials) Most portfolios are filled with the same boring projects everyone else does. These fi
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@datawithsai
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 Analysis Courses Reel by @ruhaifa.altamimi - Full data analysts course worth more than a degree! Using 1 video, 1 channel
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@ruhaifa.altamimi
Full data analysts course worth more than a degree! Using 1 video, 1 channel
#Data Analysis Courses Reel by @onseventhsky (verified account) - Data Analytics Road map (6-9 months) https://drive.google.com/drive/folders/17KOCp6F1JGqOCwIdryzcDykNCSu93Ltc?usp=sharing Built from my personal int
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@onseventhsky
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
#Data Analysis Courses Reel by @rebellionrider - 🚀 2-Month Roadmap to Data Analyst Mastery 📊 👉 SAVE THIS to become data Pro! 👈 Otherwise, you'll miss out on learning how to become an SQL Expert!
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@rebellionrider
🚀 2-Month Roadmap to Data Analyst Mastery 📊 👉 SAVE THIS to become data Pro! 👈 Otherwise, you’ll miss out on learning how to become an SQL Expert! Month 1: Week 1-2: 📚 Foundation Building: • Master the basics of statistics, SQL, and Python/R through online courses and tutorials. Focus on understanding data structures and manipulation. Week 3-4: 🔍 Dive into Data Exploration: • Practice data analysis techniques using datasets from platforms like Kaggle. Learn to clean, preprocess, and visualize data to extract meaningful insights. Month 2: Week 1-2: 💼 Real-world Applications: • Engage in hands-on projects or internships to apply your skills to real business problems. Collaborate with peers and seek feedback to refine your approach. Week 3-4: 📈 Advanced Techniques: • Explore advanced topics such as machine learning algorithms, predictive modeling, and data storytelling. Experiment with different tools and techniques to enhance your analytical capabilities. 🎓 Congratulations! You’ve completed your 2-month journey to becoming a proficient data analyst. Remember to stay curious, keep learning, and embrace challenges as opportunities for growth. #DataAnalyst #CareerGrowth #DataSkills 🌟 #sqldatabase #sqlite #datascientist #datasciences #sqltraining #sqlinterview #dataanalystics #dataanalysis
#Data Analysis Courses Reel by @jobs.for.engineers - ☑️It is not realistic to expect to become a data analyst in 21 days. While it is possible to learn some basic concepts and techniques in a short perio
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@jobs.for.engineers
☑️It is not realistic to expect to become a data analyst in 21 days. While it is possible to learn some basic concepts and techniques in a short period of time, becoming proficient in data analysis typically requires a significant amount of time and practice. Here are a few steps you can take to begin your journey towards becoming a data analyst: 💚1. Familiarize yourself with basic concepts and tools: Begin by learning about the fundamentals of data analysis, such as data types, statistical concepts, and common tools and techniques used in the field. 💚2. Practice data analysis skills: As you learn about different concepts and techniques, try to apply them to real-world data sets. This will help you gain practical experience and build your skills. 💚3. Learn a programming language: Many data analysts use programming languages like Python or R to work with data. Consider learning one of these languages, as it will be useful for tasks such as cleaning and manipulating data, building models, and creating visualizations. 💚4. Build a portfolio: As you gain experience and build your skills, start working on projects that showcase your abilities. A strong portfolio can help demonstrate your expertise to potential employers. 🫶🏻Remember that becoming a data analyst takes time and dedication. Don’t get discouraged if you don’t see immediate results. With persistence and hard work, you can build the skills and experience necessary to succeed in this field.

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