Applied Machine Learning and Data Science with Python

With the advent of the fourth industrial revolution (cyber-physical systems), world businesses are currently experiencing an unprecedented explosion in data – but these global organizations are obstructed by a massive shortage of data science and machine learning professionals.

According to techrepublic.com, 'Machine Learning Engineer' and 'Data Scientist' are among the top in-demand tech jobs for 2019. National average salaries for 'Data Scientist' range from $95,000 - $145,000 (Source: Butch Works Data Science Survey 2018), whereas average salary for 'Machine Learning Engineer' is $145,000 (Source: Indeed.com, 2019). An IBM quant crunch report noted that "by 2020, the number of data science and analytics job listings is projected to grow by nearly 364,000 listings to about 2,720,000."

Challenges include the wide range of skills required (programming, mathematics, statistics, machine learning, AI and story-telling) as well as a lack of proper training programs.

Applied Data Science and Machine Learning (ML) with Python Program

Emory Continuing Education’s 6-week Applied Data Science and ML with Python program teaches applied skills in developing real-world data science solutions. Participants will gain hands-on experience in the entire spectrum of data science: data collection, preprocessing, visualization, and -- most importantly -- in the application of machine learning algorithms for solving a wide variety of data-intensive problems. Participants will also have the opportunity to master open-source tools in the Python data science eco-system.

Following successful completion of the program, participants can generate actionable intelligence from diverse datasets (structured, text, web, image, and audio) for a variety of practical applications.

The program is ideal for anyone interested in data science, machine learning, and artificial intelligence-related careers, and also for professionals focused on creating data-enabled solutions utilizing Python ecosystem. Data Engineers who would like to understand the analytical aspects of data can benefit from this program, as well.

Program Topics:
I.
Data Wrangling & Visualization in Python
 
a. Data cleaning, merging and handling of categorical data
 
b. Visualization with Matplotlib and Seaborn
II.
Optimizing ML Models in Scikit-Learn
 
a. Over-fitting and Regularization
 
b. Feature Engineering, Hyperparameter tuning
III.
Working with Databases
 
a. Relational algebra and SQL
 
b. Accessing databases with Python
IV.
Text Analytics in Python
 
a. Web scraping with BeautifulSoup
 
b. Sentiment Analysis with NLTK
V.
Time Series Analysis in Python
 
a. Stock Market Prediction
VI.
Audio Processing with Python
 
a. Classification of Music

Tuition: $2,495 -- Students who have previously completed ECE’s Big Data and/or Business Intelligence programs are eligible for a 10% discount on Applied Machine Learning and Data Science with Python tuition. Contact Hamid Arjmand at harjman@emory.edu for the promo code.

Course Length: 7 weeks / 56 hours
Next Course Begins: Sat, Apr 27 – Jun 15, 2019 / 8:30 a.m. – 5:30 p.m. (no class May 25)
Course Length:7 weeks / 56 hours
Next Course Begins: Saturday, Sep 28 – Nov 9, 2019 / 8:30 a.m. – 5:30 p.m.

Upcoming Information Sessions
If you missed our recent information session or cannot attend, please contact Hamid Arjmand at harjman@emory.edu or 404-727-5513.