Social Media Ideas for Data Analysis

What is Data Analysis: Examples, Types, and Applications | Simplilearn

TL;DR: Data analysis turns messy, raw information into clear, actionable business insights. Four key takeaways stand out: it follows a strict six-step processing framework; relies...

What is Statistical Analysis: Techniques and Applications | Simplilearn

TL;DR: Statistical analysis helps you understand and interpret data to uncover patterns, trends, and relationships. This guide covers key methods, techniques, tools, and examples t...

Excel Data Visualization & Analysis

I have a dataset in Excel that I need turned into clear insights. Your role will be to clean and organize the raw data, run any necessary analyses, then present the results through...

How to analyze data from Google Forms

Google Forms is an online form builder that works well for simple surveys, basic feedback forms, and straightforward registration processes. However, collecting data is only the fi...

Seven Targeted SPSS Analyses

I have seven concise SPSS assignments built around real student-level data from the social-sciences / education space. Each task zeroes in on a single technique—one may call for cl...

Predict Customer Behavior From Sales -- 2

I will supply our historical sales data in CSV format, already cleaned of obvious entry errors but otherwise untouched. Your task is to run a full predictive analysis aimed at unde...

Excel in Real-World Data Analysis: Still the Workhorse

Ask any data analyst what tool they touched first, and there's a good chance the answer is Excel. Despite the rise of Python, R, and cloud-based BI platforms, Excel hasn't gone any...

Analysis Magnum 4D: Results, Trends, and Tools

Analysis Magnum 4D helps you review past Magnum 4D results, compare 4D numbers, and understand how often certain winning numbers have appeared. You can use historical data and freq...

Uber Demand Gap Study

This project analyzes 6,745 Uber ride requests collected over a 5-day period (July 11–15, 2016). The objective was to uncover patterns behind ride cancellations, unfulfilled reques...

8 Best Statistical Analysis Software I Recommend (2026)

I evaluated 40+ tools using G2 Data and reviews to finalize the 8 best statistical analysis software. These are SAS Viya, IBM SPSS Statistics, Minitab Statistical Software, Base SA...

grafify online: A web app for graphing and statistical analysis

by Avinash R. Shenoy grafify online is a free, browser-based app for generating publication-quality graphs and performing statistical tests and post-hoc comparisons. Users can cus...

Scientific Data Analysis with LabPlot in Python: Signal Processing, Spectral Peak Fitting, Visualization, and Batch Auto...

In this tutorial, we explore a LabPlot-inspired scientific data analysis workflow in Python while preserving the structure and terminology of LabPlot’s aspect tree, analysis kernel...

Top Data Analytics Trends Shaping 2026 | Simplilearn

Generation, processing, and data storage are critical steps for any organization. It comprises numerous hidden pieces of information waiting to be explored by a professional with e...

A Profitability Segmentation Analysis Engine for Insurance

Table of ContentsContinue reading on Medium »

Data Analyst Job Description: Roles, Skills, and Responsibilities | Simplilearn

TL;DR: Data analysts turn raw data into insights that help companies make faster, smarter decisions. Using tools like Excel, SQL, Python, and Tableau, they uncover trends, improve...

Excel Financial Formula Modelling -- 2

I have raw financial data that needs to be turned into clear, decision-ready insights. Your job is to work in Microsoft Excel, using advanced formulas to analyse revenue, expenses,...

4D Number Analysis: Results, Patterns, and Limits

4D number analysis helps you examine past lottery results instead of choosing numbers without any basis. You can study recent draws, digit positions, repeated combinations, and pat...

<![CDATA[The Mechanics of Analyzing Linked Data Sets]]>

National Market Analysis and Insights - 14/07/2026 18:43 EDT

I’m looking for a comprehensive market analysis that zeroes in on the national landscape for my business. Your research should allow me to: • Pinpoint and size our ideal customer...

Five P’s of Data Science Explained for Beginners

Imagine an online grocery app where customer cancellations suddenly jump by 28%. Instead of guessing or cutting prices, the team…Continue reading on Medium »

Data Analyst Salary in India: Freshers and Experienced | Simplilearn

Data analysis employs analytical and mathematical techniques to refine data into actionable insights driving business decisions. As the volume of data accessible to businesses grow...

7 Must-Have Skills for Data Analysts in 2026 | Simplilearn

TL;DR: The essential skills for a data analyst include data cleaning, Excel, SQL, statistics, visualization, programming, and critical thinking. Learning these core skills, along w...

Data Analytics Projects: Top Ideas and Best Practices | Simplilearn

According to a LinkedIn report, data analysis remains one of the top five most in-demand skills across industries. But just knowing the theory isn’t enough. Employers today want pr...

Data Analytics in Recruitment: How HR Teams Are Making Smarter Hiring Decisions

Stuart Gentle Publisher at Onrec 07 Sep 2026|Data Analytics in Recruitment: How HR Teams Are Making Smarter Hiring DecisionsMost hiring decisions still come down to a recruiter's...