Get updates on Eligibility, Admission, Placements Fees Structure
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 21094 | 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. 21,094 which is completely optional.
Analytics in Python Fees Structure
Fee Category | Amount in Rs. |
Course fee | Nil |
Certification fee | Rs. 21,094 |
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
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
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/learn/python/columbia-university-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)
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.
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.
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.
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.
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.
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.
This course is recommended to:
- Professionals working in programming field
- Anyone interested in learning machine learning
- Programming enthusiasts
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.
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.
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.