Pursuing PGP in Data Science & Business Analytics from The University of Texas at Austin McCombs School of Business in collaboration with Great Lakes Institute of Management with Great Learning.
In this course I've learned about data, how gather data from different sources, how to analyze data to get useful insights. To get insights we have to do Exploratory Data Analysis (EDA) of the data which basically means to clean the data remove all the duplicates, missing values etc.
Skills: Python || Web Development || Machine Learning || Deep Learning || NLP|| Data Visualization || Numpy || Pandas || Seaborn || Matplotlib ||
- š Iām currently working on Building end to end Data Science Project
- š± Iām currently learning Web Development & Database
- šÆ Iām looking to collaborate on AI, ML, DL, DS research paper
- š¬ Ask me about
NumbersData, visualization, analytics, cloud - š« How to reach me: [email protected]
- ā” Fun fact: 75% of Data Experts use Python for Data Science Work.
Adding more and more documents related to data and analytics. With the help of Analytics senior leaders can generate more accurate insights to more revenue to the company.
Data analytics converts raw data into actionable insights. It includes a range of tools, technologies and preprocesses used to find trends and solve problems by using data.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent