Polaris - Industry Masterclass (Data Analytics)

BestTop Consulting Pte Ltd was founded in Singapore in 2014 and it aims to provide professional customized career coaching service for students and working professionals from Singapore and abroad. Our 400+ career mentors are from the Fortune 500 companies, with rich industry experiences and career development skills. We have set up offices in Singapore, Hong Kong, and mainland China. Our services are recognized by the community and we are backed by renowned incubation programmes from National University of Singapore, Singapore Management University, and the Hong Kong Cyberport.

BestTop Pte. Ltd.

Come join us in this new initiative that lets you have a taste of what it's like to work in different industries and find your true calling!

This Masterclass workshop is designed to give you a feel of what it is like to work as a Data Analyst!As a Data Analyst, you can expect to learn how to retrieve data from one or more sources and prepare the data so it is ready for numerical and categorical analysis. Data cleaning also involves handling missing and inconsistent data that may affect your analysis. The skills you will use and develop through the course of this workshop are part of the analyst toolkit.Masterclasses are conducted via video lessons by experienced industry experts in top companies. One-on-one guidance by TalentLink team is in place to address participants’ questions and to offer timely feedback on assignments as well.Features include:<ol><li>Structured Curriculum: Structured and practical learning on Python and SQL</li><li> Live Q&A sessions to address individual problems: your best opportunity to get in touch with the mentors</li><li> Solve Real Problem: Application of essential technical knowledge to real-life projects</li><li> Flexible learning schedule at your own pace: The course material will be recorded videos, so you can watch it at your own schedule</li></ol>

Program Outline:Week 1 - Getting the basic ideas of what a data analytics career looks like in different industries and what are the transferable skill sets and background knowledge you need to have in order to start your career in data analytics. Week 2 - A series of technically intensive videos that will cover the most popular data analytics tools - Python. You will learn the Python basics, how to use Python to do data processing and exploratory data analysis &amp; visualization. Week 3 - An overview of cutting-edge analytical methods and you are expected to use them to perform some advanced analytics tasks.Week 4 - Using all the prior knowledge and apply them in really battle, We will provide the real use cases in multiple industrial with mock up data set. You will learn that in real work, how data analytics professionals pitch their results to the business stakeholder to make real impact to business performance.

What will you get from this?Data Analytics Solving Toolkit:<ul><li>Python</li></ul><ol><li> Basic python knowledge including installation, environment setup, package installing, IDEs, Python syntax</li><li>Data processing using Python including popular data format, data read and write, data transformation and calculation using Pandas</li><li>Data analysis using python packages and data visualization Python</li><li>Essential data analytics Skills</li></ol><ul><li>SQL</li></ul><ol><li>Database knowledge, concept of data models, SQL language syntax and examples.</li></ol><ul><li>Machine Learning</li></ul><ol><li>Explain through the basic machine learning algorithms, including regression, decision tree, random forest and anomaly detection.</li><li>To implement a machine learning algorithm using Python scikit-learn package</li></ol>Soft Skills for Data Analytics <ul><li>Effective Communication</li><li>Project Management</li><li>Performance Management</li><li>Influencing Models</li><li>Team Leadership</li></ul>Addition of Experience into Resume:

Certificate of Completion

<h2>Contact us at contact@talentlink.org for ways to get promo code!</h2><h2></h2>

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Polaris - Industry Masterclass (Data Analytics)

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