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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

The Analytics in Python course offered by Columbia University available on the edX platform is a well-structured programme equipped with course content designed by experts to enrich candidates with python programming knowledge.

Data is an essential part of an organization and proficiency in programming is an important skill for effectively imparting knowledge and information from data. The course will help learners in developing an understanding of various topics like web scraping, web crawling, database basics, relational databases, data interchange formats of JSON and XML and text mining. Through the course, learners will gain knowledge to analyze and visualize data and will be introduced with the basics of SQL that they can apply in the programming area.

The rapidly increasing demand for python as a programming language makes this course a one-time investment for professionals working in this field. The professionals can share the verified certificate provided towards the end of the programme in their LinkedIn profile for their professional benefits.

The Highlights

The course duration of 12 weeks
Course offered by Columbia University
Flexible learning
Shareable verified certificate
Course material free to access
8-10 hours of content assigned per week
Self-paced course
Certification provided by edX
Institution associated is ColumbianX
Instructors come from Columbia University

Programme Offerings

video lectures
Graded Assignments

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 20681	yes	Columbia University, New York

The fee structure for Analytics in Python is:

The course content is free to access
The verified certification fee is Rs. 20,681 , which is completely optional.

Fee Category	Amount in Rs.
Course fee	Nil
Certification fee	Rs.20,681

Eligibility Criteria

Education

Before taking the Analytics in Python course no specific educational background is required. But, the course will be easier to take up for the candidates having some programming knowledge and for those who are familiar with the basic concepts of probability, set theory, and algebra. During the starting two weeks of the course, the candidates will get a chance to review basic python programming concepts for the candidate’s convenience.

Certification qualifying details

On completing the Analytics in Python course by edX successfully, a verified certificate having the institution's logo and instructor’s sign will be awarded to eligible candidates. For being eligible for the certificate the candidates are required to choose to “upgrade to verify” their course after paying the specific amount necessary for it. The candidates can easily post the verified certificate directly on their LinkedIn profiles.

What you will learn

Machine learningDatabase knowledgeKnowledge of PythonSQL knowledgeKnowledge of Data Visualization

In the Analytics in Python course:

Learners will be able to get an overview of machine learning
Candidates will get a chance to practice python codes.
Candidates will get a chance to understand the working of SQL based languages such as MySql.
Learners will become aware of the working of database basics and relational databases
Candidates will gain expertise in python programming and will analyze data from databases and also from the web
Candidates will learn about how to deal with data interchange formats like JSON and XML
Candidates will be introduced to the topic of text mining
Learners will gain hands-on experience with proficiency in data management skills.
Candidates will get the knowledge to make data-driven decisions.
Candidates will develop an understanding of web scraping and web crawling

Who it is for

Data AnalystData ScientistPython Programmer

The Analytics in Python course is prepared in order to equip candidates with fundamentals of programming and to provide a working knowledge of implementing programmes in dealing with data. The course is highly suited for:

Anyone keen to learn about python and machine learning
People who aspire to work in this field
Anyone working in big python projects
Professionals working in this field

Admission Details

The admission process to register for Analytics in Python course is directive and easy to follow. These steps are to be followed by the candidates:

Step 1: Firstly the candidates are advised to click on this https://www.edX.org/course/analytics-in-python URL in order to visit the official webpage of the course.

Step 2: The candidates are now required to register themselves by clicking on the “register” button

Step 3: After filling in the asked details the candidate will get registered

Step 4: Now the candidate is requested to select this Analytics in Python course from the course catalog

Step 5: After selecting the course candidates can easily access the course content

Note: In order to be eligible for the verified certificate and to access graded assignments the candidates are advised to opt for “upgrade to verified” after filling the required price of the course.

The Syllabus

Instructors

Columbia University, New York Frequently Asked Questions (FAQ's)

1: Can I start learning and pay later?

Yes, the candidates can start the course in the audit track, and can upgrade to the verified track later according to their convenience. However, for accessing the graded assignments the candidates need to upgrade to the verified track.

2: What if I want to transfer to another session?

Most of the edX courses do repeat. So, the candidates who are unable to complete the course within the course duration can enroll again in any future session.

Note: Verified certificates cannot get transferred to another session.

3: Can I ask for a refund?

In order to get a refund in an upgraded course, the candidate is required to enroll themselves from the course within the 14 days refund eligibility period - 14 days after the purchase date or 14 days after the course starts, whichever comes later.

4: What is the deadline to apply for financial assistance?

The candidates can apply for financial assistance anytime before the deadline to upgrade to a verified certificate. The candidates can find the upgrade deadline for their course on the right side of the Home tab.

5: What is my dashboard?

The dashboard gives candidates access to the courses and programs that the candidates have enrolled in, and to information such as course start and end dates, certificates, and email settings.

6: A learner or instructor is acting inappropriately. What can I do?

The candidates are requested to immediately report about any inappropriate behaviour they have come across during the course to the course team. Quick actions will be taken against them.

7: Who should take this course?

This course is recommended to:

Professionals working in programming field
Anyone interested in learning machine learning
Programming enthusiasts

8: What topics will be covered during this course?

Machine learning, data analysis, and visualization, web scraping and web crawling, text mining, analysis of networks, SQL, data interchange formats: JSON and XML are some topics covered during this course.

9: What is the significance of taking this course from edX?

edX is a renowned learning platform founded by Harvard and MIT. edX focuses on providing quality education by transforming traditional education and removing the barriers of location, cost, and access.

10: Does anyone living in any country can register for this course?

The course is available in mostly all countries or regions. But unfortunately, learners from one or more of these countries: Iran, Cuba, and the Crimea region of Ukraine can not register for this course.