Python Programming for Data Science

This learning track provides with hands-on application of Programming Constructs in Python using Data Structures, and introduces the concepts and techniques of Data Treatment, Data Transformations, Data Visualizations, Feature Engineering, Descriptive and Predictive Analysis.

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Python Programming for Data Science
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    Difficulty: Intermediate

    Foundational knowledge or experience in python is recommended

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    Duration: Approximately 3-4 Weeks

    Suggested learning pace is 5hr/week

Course Overview

  • Learn to implement the different functionalities within the various Python libraries used in Data Science like Pandas and NumPy for data manipulation purposes.
  • Learn to implement different data pre-processing techniques and perform detailed univariate and multivariate analyses to gain insights.
  • Learn to implement the different functionalities within the various Python libraries used in Data Science like Matplotlib and Seaborn for data visualization purposes.
  • Learn how to apply various data transformation and feature engineering techniques to raw data and prepare suitable features for improved modelling results.

What’s included

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Shareable Certificate

Earn a sharable certificate upon completion

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Lifetime Access

Access this learning track for life once completed

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Flexible Scheduling

Start learning online immediately, at your own pace

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Desktop Only

We recommend completing this learning track on a desktop

Skills you will learn

User interface

Front-end development

css

html

Ux/ui design

react

java

Javascript

Syllabus

  • Data Science with Pandas
  • Numpy for Data Science
  • Data Visualization with Seaborn
  • Getting started with Matplotlib
  • Univariate Exploratory Data Analysis using Python
  • Multivariate Exploratory Data Analysis using Python
  • Feature Engineering in Python
  • Fundamentals of Data Processing in Python

How it Works

Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.

With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.

Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.

Complete courses to earn sharable certificates and badges. These awarded items will be look great in your portfolio as you showcase your skills and project experience to employers and colleagues.

Learner Outcomes

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“Rolai provides contextual upskilling opportunities … on one single platform.”

Sundar Ramamoorthy
Managing Director of Solutions.AI, Global Products & Delivery Lead at Accenture

“An excellent tool for anyone who wants to quickly learn the ropes.”

Sanket Kawde
Head Data and Analytics at CitiBank India

“Rolai is the best program available for someone looking to enhance their skills”

Connor McEachron
Planning & Analytics @ Brooks Brothers

“Great way to learn data analytics and data science”

Balaji Reddy
Manager – Applications Development

“The courses were excellent and covered topics that I didn’t expect”

Aadarsha G
Student At Ohio Wesleyan University
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All the Most Frequently Asked Questions

What People Are Asking About Data Education

Rolai’s patented process provides a personalized learning process for each user. Rolai goes deeper than simply learning concepts and testing your skills. At Rolai, learners can apply their skills to actual industry use cases and projects.

Our courses include readings, videos, quizzes, and hands-on data cases that are completed using our virtual lab; give learners an applied learning experience.

No additional tools are needed to begin learning with Rolai. Our virtual lab contains the necessary data workspace and an embedded coding console.

  • We have internal SMEs across industries and domains that we work with to develop relevant content and assure quality datasets and problem statements.
  • We also work with enterprises and universities to develop new content directed towards their industry and expertise.