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Data Analytics and Python Fundamentals

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Course Report - Data Analytics and Python Fundamentals

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

4 weeks

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Mobile, Desktop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

4 hours per week

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Teaching Type

Self Paced

Course Description

Are you looking to increase the value of your organization's data? First, organize and structure it for analysis. Data analysts will need to use databases and other technologies in order to efficiently collect, organize and manipulate the data.

This course will teach you how to use Python programming language to analyze data and perform data modelling.

This course will compare advanced and data analytics. It will also discuss the basics of statistics and how it is applied in data analytics.

You will learn many different techniques to manipulate data. Your approach can be adjusted to suit your subject, circumstance, and time.

Additionally, you will learn Python to support data wrangling.

You'll be able to apply for jobs in a variety of industries by consolidating your knowledge through real-world examples and theory.

This course will enhance your understanding of data analysis and help you to build your Python skills.

After completing ExpertTrack, your knowledge and confidence will allow you to use your skills in a real-world setting.

You can see some of the steps in this course before you sign up.

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Highlights

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Course Credibility

Top 20 Percentile

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Pedagogy

Top 20 Percentile

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Parameters

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Course Credibility

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

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Pedagogy

Acquire all major Data Analytics skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in Data Analytics, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

Course Overview

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Alumni Network

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International Faculty

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Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

During the course we’ll be using Jupyter notebook. We recommend you use a computer to access these elements

What You Will Learn

Compare data analytics and advanced data analytics

Discuss fundamentals of statistics and its application in data analytics

Define loops, conditional logic, various data structures and collections in Python

Create and use functions in Python

Target Students

Business analysts or junior data analysts looking to develop their advanced data analytics skills and programming capabilities to achieve career progression within data analytics

Those with existing programming capabilities looking to start a career in data analytics

Those lacking the programming capabilities to conduct more advanced data analysis and modelling

Course Instructors

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Ed Marks

Instructor

I truly believe that leveraging the correct technologies in the appropriate way can take us towards a more sustainable economy. My focus is on converging M&E Engineering with Data Science/Analysis.

Corporate Sponsors

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