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CareerStart's Data Science career track is a career builder for aspiring data scientists. This course is outlined to prepare students to handle the job of a Data Scientist effectively. The purpose of this track is to provide students a strong conceptual knowledge and lots of hands-on exercises to help understand better and to appreciate the best practices used in the industry. The program is very detailed and totally hands-on. Students will get familiar with the various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. The following are just a few of the exercises that students actually perform in class as part of their lab exercises:
This is a rigorous program and you must be willing to devote a substantial amount of time and effort to complete it. Your gains will be in direct proportion to the amount of effort you put into it.
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. A Data Scientist or an Analyst usually explains what is going on by processing history of the data. Data Scientists not only do exploratory analysis to discover insights but also use various advanced machine learning algorithms to identify the occurrence of a particular event in the future. A Data Scientist will look at the data from many angles, sometimes angles not known earlier. Data Science is primarily used to make decisions and predictions making use of predictive causal analytics, prescriptive analytics (predictive plus decision science) and machine learning.
The following basic knowledge is assumed of each student:
The following modules make up the CareerStart's Data Science career track:
In this course students will develop foundational Data Science skills to prepare them for a career or further learning that involves more advanced topics in Data Science. The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Hadoop, used by Data Scientists. It is designed to go over topics such as modeling methods, introduction to R, map reduce, delivering results, introduction to big data, and Hadoop ecosystem and Yarn.
Learn To:
Benefits to You
You will benefit from this course as you learn detailed information about how data is stored, organized, analyzed, visualized, to look into insights, trends and methodologies that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.
This training is for a total of 40 hours and the duration of the training is one month
This course is an introduction to the Python programming language for students without prior programming experience. We cover data types, control flow, object-oriented programming, and graphical user interface-driven applications. We will also go over the history, features, setting up path, working with Python, basic syntax, variable and data types, and operators.
Learn To:
Benefits to You
This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours. You will learn Python Basics, Types, Expressions and Variables. String Operations, Python Data Structures, Lists and Tuples, Sets, Dictionaries, Python Programming Fundamentals, Conditions and Branching, Loops, Functions, Objects and Classes, Working with Data in Python, Reading files with open, Writing files with open, Loading data with NumPy and pandas. Finally, you will create a project to test your skills.
This training is for a total of 40 hours and the duration of the training is one month
In this Python training course, students already familiar with Python programming will learn advanced Python techniques. Python has evolved as the most preferred language and is considered to be the “Next Big Thing” and a “Must” for Professionals. There are various Python career opportunities available for a Python programmer. This training is designed for those students who are seeking to get into these types of fields: Software Engineer, Python Developer, Research Analyst, Data Analyst, Data Scientist, or Software Developer.
Learn To:
This advanced Python programming course will add to your Python programming skills. You will learn OOPs concepts, work with expressions, databases, networking, CGI & GUI programming, etc.
This training is for a total of 40 hours and the duration of the training is one month