Data Science in Python Class: Beginner Level - NYC

RSVP HERE: http://bit.ly/Data-Science-Level-1

DURATION: 3 HOURS ONSITE TRAINING + 3 HOURS OF TECH SUPPORT

MODE: One to One [Highly Personalized]

SCHEDULE: Flexible

Learn to make smarter business decisions using Data Science!

Are you looking to make a career switch or earn a higher salary, using one of the most desirable skills?

Are you looking for One on One sessions?

If your answer is YES, then this class is for you. Data Scientists are in HIGH DEMAND in today’s job market, and that demand will only continue to soar. IBM predicts that demand for data scientists will increase by 28% by 2020, and it isn’t stopping there.

Data science skills are amongst the some of the most desirable skills to employers because companies of every industry, whether it be healthcare, finance, and insurance, retail, hospitality, IT, etc., use data science for all sorts of business solutions.

This course is very individualized, with a maximum of 3 students per class. If you’re lucky enough to be the only student in that session, then you just scored yourself a private, one-on-one Intro to Data Science Lesson!

Who This Class is For:
Everyone! Non-programmers, beginners, working/business professionals, and entrepreneurs looking to get acquainted with Data Science using Python to boost their careers. Regardless of your background, whether you work in finance, insurance, journalism, healthcare, IT, or any other industry, you can greatly benefit from this class. You’ll be learning from our expert instructor that has taught Data Science, Python, SQL, Machine Learning, and Blockchain to over 30,000 students on Udemy!

What You’ll Learn:
You will learn the basic and fundamental concepts of data science using the Python programming language. You will learn how data science can be used in real-world situations and applications. You will also be guided towards how you can master data science.

Topics Covered:

Introduction to Python Programming
Data science jobs
Learn Python for data analytics using Pandas and NumPy
Creating DataFrames from scratch using a dictionary or list
Data Cleaning & Preparation for Analysis
Data Imputation
Aggregation, Wrangling, Rearranging, and Reshaping data
Join, Concatenate, Pivot, and Melt Functions
Data Manipulation
Time Series Data Analysis
Data visualization with Matplotlib

NO PRIOR EXPERIENCE IS NEEDED. We will assist you with installing and setting everything up. All we need you to do is bring in your own laptop!

What to Bring:
Laptop with Google Chrome Browser installed

At the end of this course, you’ll have code to add to your Github account!