Based on my own experience, I think this roadmap will answer all the questions of how to become a data analyst from zero, which technologies and programming languages are better to know, what kind of soft skills do we need, how do I start my professional career in this field.

Solutions for Danny Ma's #8WeekSQLChallenge.

Guided Projects - Data Quest

Practical Tasks for get the Data Analyst Associate by Datacamp.

This is an analysis made on a superstore to understand why they had been making losses over a four year period, yet it had accounts on a substantial amount of sales over the same year period.

It consist of all Python Projects I have worked on.

The project provides a real-world dataset focusing on supply chain analytics

Springboard Data Analyst Bootcamp Capstone Project

Udacity Data Analyst Nanodegree

We analyze the data set with SQL and we use Tableau for the visualization part

The IPL EDA (Exploratory Data Analysis) was conducted, revealing valuable insights. The analysis focused on various aspects such as player performance, team statistics, and match outcomes. Key findings include trends in run-scoring, top performers, and team dynamics. The EDA offers actionable insights for teams and fans to make data-driven decision

These challanges were asked on this webiste.

This Repository consist of all the Project Task with total of eight tasks that were assigned to me on a weekly basis as part of Data Analyst Internship at Yoshops.com

Data Analysis to leverages polished, explanatory visualisations to communicate your results.

My Python & Pandas Small Projects

Explore restaurant scene in 3 Indian metros (174 restaurants). Valuable resource for researchers, analysts & food enthusiasts to study dining & delivery ratings, preferences, cuisines, pricing, trends, & customer satisfaction. Make data-driven decisions for restaurant business & food choices.

A cost analysis dataset of region-wise different IT departments was used for this project. I used excel and powerBI query tools to analyze and build the relational model. After that used different visualization tools to show different budgets and forecasts comparisons.

Project description. I developed a weekly credit card dashboard for real-time insights using Excel, SQL, and Power BI. The project included data cleaning, database creation, and visualization. Key insights included identifying top-performing cards and analyzing revenue factors. This demonstrates my proficiency in these tools for accurate analysis.

About Me.