Applied Data Science with Python

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Course Report - Applied Data Science with Python

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

5 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

22 hours per week

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Teaching Type

Instructor Paced

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Video Content

68 hours

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Dates & Batches

From 05 Jul ' 24

Course Description

The Python Data Science course will teach you how to program Python. This Data Science with Python certification training will teach you Data Analysis, Machine Learning and Data Visualization. Web Scraping & NLP are also included. After completing this course, you will be able to use the most important tools of Data Science using Python.

Highlights:

  • Blended learning: 68 hours
  • 4 industry-based projects
  • Interactive learning
  • A dedicated mentoring session with industry experts faculty
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Highlights

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Course Credibility

Top 1 Percentile

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Hands on training

Top 1 Percentile

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Career Impact

Top 1 Percentile

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Rating & Reviews

Top 30 Percentile

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Parameters

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Course Credibility

Delivered through DataTrained a renowned institution in the field, this course offers a comprehensive learning experience.

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Hands on training

This course stands out as one of the top 1 percentile options in Python Programming for Data Science, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. This course is a standout choice among top Python Programming for Data Science courses, offering comprehensive hands-on training, a capstone project, case-based learning, and virtual labs. Learners gain practical experience through interactive training and apply their skills in real-world scenarios. This holistic approach equips learners with both theoretical knowledge and practical skills for success in the Python Programming for Data Science industry.

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Career Impact

Enrolling in this top 1 percentile course can have a profound career impact, especially with its comprehensive job and internship assistance. By offering support in both job search and internship placement, the course equips students with valuable skills and experiences. This feature significantly enhances the course's value, ensuring learners are well-prepared to excel in their careers by providing practical exposure and relevant opportunities.

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Rating & Reviews

This highly acclaimed course is among the top-rated in Python Programming for Data Science, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Python Programming for Data Science.

Course Overview

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Live Class

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Internship

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Virtual Labs

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Job Assistance

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Alumni Network

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Human Interaction

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Personlized Teaching

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Industry Exposure,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

This course is for complete beginners and doesn't need any pre-requisites or programming knowledge or experience

What You Will Learn

You will learn about Pandas

You will learn about NLP

You will learn about SQL

You will learn Excel

You learn to programming in Python

Target Students

Professionals

Course Instructors

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Dr. Deepika Sharma

Training Head, Datatrained

Research Scientist with a PhD in computer science and 10+ years of hands-on experience.
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Polong Lin

Business Analyst, IBM

Polong Lin is a Data Scientist at IBM in Canada. Under the Emerging Technologies division, Polong is responsible for educating the next generation of data scientists through BDU.
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Mahdi Noorian

Data Scientist, IBM

Mahdi Noorian is a Postdoctoral Fellow at the Laboratory for Systems, Software and Semantics (LS3) of the Ryerson University. He holds a Ph.D degree in Computer Science from University of New Brunswick.
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Jay Rajasekharan

Data Scientist, IBM

Currently, he is driving several productivity programs - using data analytics to drive insights from business operations and implementing optimizations such as streamlining workflows, improving service levels, and ultimately reducing cost.

Corporate Sponsors

Course Reviews

Average Rating Based on 5 reviews

5.0

100%

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