Data analytics -machine learning internship

DATA ANALYTICS AND MACHINE LEARNING INTERNSHIP KEY OUTCOMES FROM THE INTERNSHIP Improve Analytical Skills: Data analysts work with large amounts of data: facts, figures, and number crunching. You will need to see through the data and analyze it to find conclusions. Improve Communication Skills: Data analysts are often called to present their findings, or translate the data into an understandable document. You will need to write and speak clearly, easily communicating complex ideas. Improve Critical Thinking: Data analysts must look at the numbers, trends, and data and come to new conclusions based on the findings. Attention to Detail: Data is precise. Data analysts have to make sure they are vigilant in their analysis to come to correct conclusions. Improve Math Skills: Data analysts need math skills to estimate numerical data. DATA ANALYTICS TOOLS AND METHODS : Python(Learn python-statistical language) - Data importing, data cleaning, data manipulation(finding insights), data visualization using interactive models. Statistics - Building statistical models. Database - SQL Machine Learning - Supervised Learning, Unsupervised Learning, Deep Learning and Network analysis. Final Project.