Mon-Fri 9am to 6pm CST
Data Analytics Bootcamp: Project 1 Data Visualization: A Practical Introduction for Absolute Beginners Self-Paced Learning
About Individual Course:
You have already taken demo for this course.
If you want to get access to demo again, feel free to contact our support at (855) 800-8240
|Learning Style||Self-Paced Learning|
|Course Duration||14 Days|
Monthly Payments With Affirm
QuickStart and Affirm have teamed up to offer you financing, allowing you to pay off your purchase over time, on your own terms. Simply select Affirm in checkout, and you will need to take a few moments to fill out some information for a real-time decision. Checking your eligibility and terms won't affect your credit score. Once you are qualified, you will have the option to choose from 3, 6, 12, 18 or 26-month financing terms*, with each term clearly showing your monthly payment. No hidden fees or costs! it's that simple!
Rates are between 0-30% APR. As an example, a $700 purchase might cost $63.24/mo for 12 months at 15% APR. A down payment may be required. Subject to eligibility check and approval. Payment options depend on your purchase amount. Estimated payment excluded taxes and shipping fees. Paid interest is nonrefundable. Actual terms may vary. Payment options through Affirm are provided by these lending partners: affirm.com/lenders. Visit affirm.com/help for more info.
(Data Science Enthusiast)
Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.
Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.