Talha Khan’s Post

Any job involving data is more about data storytelling than anything else. Until companies start seeing data as a product, your job as a Data X is to show leadership why they should apply more resources and what their ROI will yield. It’s definitely an uphill battle but tenacity for the long-game is what’s required… and presentation skills. 😝

🚀 Key Skills Every Data Analyst Needs 🔍 💻 SQL, Excel, Python – The backbone of data manipulation 📊 Power BI, Tableau – Turning data into insights 🤖 Machine Learning – Predictive power at your fingertips 🗣️ Soft Skills – Communicate insights, drive decisions Master these, and you're ready to excel in the data-driven world! 🌟 #DataAnalytics #Skills #Data #SQL #Python #Excel

Sharing a new presentation on one of the most crucial aspects of data analysis: Data Cleaning! 🌟 Diving into the intricacies of cleaning data using Excel, Power BI, Tableau, SQL, Python, and R has been a rewarding journey. Each tool brings its unique strengths, and understanding how to leverage them can turn messy data into powerful insights. Whether it's tackling missing values, handling duplicates, or ensuring data integrity, these processes are the backbone of any successful data-driven project. Can't wait to hear your thoughts and learn how you approach data cleaning in your work! 🧹💡 #DataCleaning #Excel #PowerBI #Tableau #SQL #Python #R #DataScience #Analytics

I'm always happy to hear compliments, and today I received one from our chief sales officer, who mentioned how much he liked the performance dashboard I presented showing our April sales performance. The dashboard was created using PowerBI and it happened to be one of many innovative ways of doing things differently. Data visualization greatly enhances the decision-making process in big data analytics #DataAnalysis #DataAnalyst #PowerBI #MicrosoftExcel #SQL #Python

🚀 Unlocking Business Insights with Data Analytics 🚀 Today, I delved into optimizing a dataset to analyze the profitability of one of the services using Python and Power BI. 📊 Key takeaways: Data Aggregation Matters: Grouping data with fewer columns can often reduce row counts, but careful grouping ensures no data loss, especially in large datasets. Data Enrichment via Power Query: Adding calculated columns & using conditional logic can simplify insights. Consistency is Key: Whether working in Python or Power BI, ensuring consistent row counts before and after transformations guarantees data integrity for accurate reporting. Combining Technologies: Sometimes, merging the power of both Python and Power BI allows for more comprehensive and dynamic data exploration. Looking forward to applying these insights in future projects! 💡 #DataAnalytics #Python #PowerBI #BusinessIntelligence #D2D #Profitability #DataScience #LearningJourney #LinkedInLearning

As a data analyst, you can explore multiple questions using a single dataset. SQL helps shape the data as needed, while tools like Tableau and Power BI simplify visualization. Python is also a versatile tool for data manipulation and visualization. Take a look at what I have below #sql

There are few very effective tool for analyzing data. A brief introduction about them. 1.    Excel - for smaller-scale (i.e., roughly 1 million rows of data or fewer) data analytics. It comes with robust analytical functions s.a. calculation, graphing and grouping etc. 2.    Tableau - strong focus on visualization 3.    SQL - programming language designed specifically for manipulating data in relational databases 4.    Python - to clean data, calculate statistics, scrape data from the web, and load records into data warehouses #dataanalyst #excel #python #sql #tableau #data

#Technical Skills: Proficiency in tools such as: #Excel (advanced functions, pivot tables, and data visualization). #SQL (database querying and manipulation). #Python/R (for data analysis and machine learning). #Power BI/Tableau (for creating dashboards and reports). #Statistics and Predictive Modeling. #Soft Skills: Problem-solving, critical thinking, and communication.

Becoming a Data Analyst doesn't need to be more complicated than: 1. Excel/Stats 2. SQL 3. Tableau/ PowerBI -> Build dashboards 4. Python/R -> Analyse + Visualise Data 5. Using the above, build Portfolio projects (From data cleaning → Tell the story → Recommendation & Actions) 6. Improve each one step at a time.

🚀 Unlock the Power of Data Analytics! 🌐 Explore the key technologies driving data management, processing, and visualization. Whether you're handling SQL databases, crunching numbers with Python, or creating visual insights with Power BI, these tools are the foundation of modern analytics. 🔹 Data Management & Storage 🔹 Data Processing & Analysis 🔹 Data Visualization & Reporting 💡 Elevate your data game with the right tools! #DataAnalytics #DataScience #SQL #Python #PowerBI #DataVisualization #BusinessIntelligence #TechInnovation #DataManagement #DataProcessing #AnalyticsTools