Data Science Adaptive

Mentor-led Data science training to help you learn by completing challenging projects that you’d be proud to include in your portfolio. Download Course Datasheet

WHAT YOU WILL LEARN

This course is 12-week, mentor-driven course that teaches you how to complete up to three Machine Learning projects through application of Supervised and Unsupervised Learning techniques. You will learn how to apply Machine Learning algorithms to real-world applications from examples such as Amazon Movies, City Bike sharing, Airline Flight Delays, Yelp Restaurant reviews, and Datasets from Kaggle Competitions. This course is designed specifically for intermediate to advanced technology professionals.

FINAL OUTCOME

QUICK INFO

  • Duration: Rolling program admissions that start at the beginning of each month
  • Schedule: 2-hour per week scheduled with a mentor; Plus optional office hours
  • Level: Intermediate to Advanced
  • Pricing: $3,500

KEY SKILLS & TECHNOLOGIES

  • Scrape, filter and analyze large data sets
  • Take advantage of practical tools and scale analysis using Hadoop and Cloud Infrastructures
  • Apply Data Wrangling, Exploratory Data Analysis, Model Selection and Diagnostics methods

COURSE PLAN

There are 12 modules in this course. Each module introduces one or two new Machine Learning constructs while working through the practical implementation.

SUPERVISED & UNSUPERVISED LEARNING WITH TABULAR DATA

WEEK 1: CASE STUDY INTRODUCTION PART 1, SUPERVISED LEARNING TECHNIQUES
WEEK 2: PRE-PROCESSING TECHNIQUES
WEEK 3: FEATURE ENGINEERING PART I
WEEK 4: MODEL EVALUATION AND MODEL SELECTION

SUPERVISED & UNSUPERVISED LEARNING WITH TIME SERIES DATA

WEEK 5: CASE STUDY INTRODUCTION PART II, UNSUPERVISED LEARNING TECHNIQUES
WEEK 6: FEATURE ENGINEERING PART II
WEEK 7: DATA VISUALIZATION, DIMENSIONALITY REDUCTION
WEEK 8: CLOUD AND CONTAINERS

SUPERVISED & UNSUPERVISED LEARNING WITH TEXT AND IMAGE DATA

WEEK 9: CASE STUDY INTRODUCTION PART III, DEEP LEARNING TECHNIQUES PART 1
WEEK 10: DEEP LEARNING TECHNIQUES PART 2
WEEK 11: BIG DATA TOOLS
WEEK 12: MODEL MAINTENANCE, DEVOPS

IS IT FOR ME?

  • Do I need any programming experience to attend?
    Yes – you will need previous experience in Python language. You will also receive a Personalized Learning Plan (PLP) to guide you through the 12-lessons while applying the concepts through project-based work.
  • What will I be doing?
    In 12-weeks you will learn the advanced topics of data science, Supervised and Unsupervised learning techniques applied to Unstructured Text and Time-series data both locally and on big data clusters.
  • What age is this for?
    This course is suitable for Data Scientists, Big Data Engineers, and Technology Consultants.
  • Do I need a computer?
    It is best if you bring your own laptop with 16GB RAM and 100-150GB free space on your hard drive.
  • What’s the experience like?
    The course is for those that want to learn the apply advanced Data science frameworks via projects with guidance from a mentor. Student meets a mentor once a week for two hours. Our mentors are always there to help you if you get stuck.

REGISTER

Call us at (214)-997-6100 if you have special circumstances or looking for dedicated corporate training

DATA SCIENCE ADAPTIVE

  • Duration: Rolling program admissions that start at the beginning of each month
  • Schedule: 2-hours per week scheduled with a mentor; Plus optional office hours
  • Level: Basic to Intermediate.
  • Pricing: $3,500
Email today