Data Science Professional

Learn Data Science, Wrangle Massive Data Sets, & Get Hired as a Data Scientist
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165 hours

About Course

Data Science Professional is an all-encompassing course designed to transform beginners into skilled data scientists. Covering everything from Python programming and data manipulation with Pandas and NumPy, to machine learning, neural networks, NLP, and cloud deployment, this course provides a comprehensive foundation in data science. It’s ideal for aspiring data scientists, business analysts, and professionals seeking a career change into tech. No prior programming or advanced math knowledge is required, just a logical mindset and curiosity. Enroll now to start your data science journey!

What Will You Learn?

  • tart from the basics and learn to build advanced data science solutions
  • Perform advanced operations on data and generate statistical inferences using Pandas and NumPy
  • Create ML models to solve problems across domains, and understand regression use-cases
  • Understand neural network structures and learn to use Python, TensorFlow, and Keras to implement CNN, RNN
  • Learn NLP pipeline with with different libraries such as NLTK, Spacy, TextBlob, Gensim, Pattern, and Stanford CoreNLP
  • Build on ML and Deep Learning concepts, create and deploy real-world data science apps on the Cloud
  • Get familiar with major algorithms and data structures such as quicksort, mergesort, balanced search trees, hash tables

Requirements

  • Programming: Knowledge of programming fundamentals is good to have, but not mandatory
  • Mathematics: Basic knowledge of programming and high-school level math (functions, derivatives, systems of linear equations) is beneficial, though not mandatory
  • Logical Thinking: The right aptitude, logical thinking, and drive for curiosity are all you need—leave the rest to us!

Audience

  • Beginner Data Scientists
  • Database Administrators
  • Business Analysts
  • Python Developers
  • Applications Architects
  • Data Analysts
  • Data and Analytics Professionals
  • Product Managers
  • Graduates from any discipline
  • Professionals looking for a career change Statisticians
  • Professionals looking to break into tech

Course Content

Python for Data Science

  • Lesson 1.1
  • Lesson 1.2
  • Lesson 1.2

Applied Data Science with Python

Machine Learning

Tableau Training

Data Pre-Processing

Data Structures and Algorithms

Streaming Big Data with Spark

Natural Language Processing

Deep Learning with Keras and TensorFlow

Data Science Capstone

Instructors

Benjamin J. Dockins

Benjamin J. Dockins

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16 Courses
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