Introduction to Data Science
Brochure
Enquire
Quick Facts
| particular | details | |||||
|---|---|---|---|---|---|---|
|
Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Frequency of Classes
Weekdays
|
Learning efforts
3 Hours Per Week
|
Course overview
The Introduction to Data Science certification course aims to teach you about the core Data Science technologies and concepts. During this six-week-long programme, you will learn about basic syntax, programme control flow and data types/structures in Python. You will also study the fundamentals of Statistics and linear algebra along with their uses in Python.
The Introduction to Data Science online programme by Metis comprises 36 hours of live online classes. Thus, you will learn from an expert instructor in real-time while interacting with them or your classmates simultaneously. You will also explore data acquisition, model creation, feature engineering, data aggregation and more.
Metis’ Introduction to Data Science online training also provides you with the knowledge of supervised learning approaches. Therefore, you will get familiar with topics like the random forest, decision trees, vector machines, etc. You will work on a mini Data Science project during the course. Moreover, you also get a certificate of completion.
The highlights
- 6-weeks course
- Offered by Metis
- Live interactive classes
- Certificate available
- Part-time programme
- 36-hours content
- Instructor-led learning
- Online course
Program offerings
- Certificate of completion
- Industry expert instructors
- Comprehensive curriculum
- 6-weeks training
- Live virtual sessions
- Online community
- Recorded lectures
- An offering of metis
- Free sample class
- Digital learning platform
Course and certificate fees
Fees information
Introduction to Data Science fee structure
Course | Fee |
Introduction to Data Science | $750 |
certificate availability
Yes
certificate providing authority
Metis
Who it is for
The Introduction to Data Science training is meant for individuals interested in learning the basics of Data Science and analytics.
Eligibility criteria
Educational qualification
Before enrolling in the Introduction to Data Science online programme, you must be familiar with some linear algebraic and statistical concepts. These include meaning, mode, median, the distinction between a matrix and vector, correlation, and standard deviation. You must also have some basic knowledge of Python, including data structures like directories, tuples, and lists.
Certificate qualifying details
Moreover, you will become eligible for the Introduction to Data Science certification after completing the course in its entirety.
What you will learn
After completing the Introduction to Data Science classes programme, you will develop:
- An understanding of using unsupervised and supervised statistical learning techniques on unlabelled and labelled data-rich problems
- Knowledge of Python Data Science environment
- The skills to generate applications in Python and data analytical pipelines
- The ability to use the various tools required for a Data Scientist
- The ability to recognise the problems that can be solved with Data Science and solving them from a statistical viewpoint
The syllabus
Week 1 CS/Statistics/Linear Algebra Short Course
Week 2 Exploratory Data Analysis and Visualisation
Week 3 Data Modeling: Supervised/Unsupervised Learning and Model Evaluation
Week 4 Data Modeling: Feature Selection, Engineering and Data Pipelines
Week 5 Data Modeling: Advanced Supervised/Unsupervised Learning
Week 6 Data Modeling: Advanced Mode Evaluation and Data Pipelines | Presentations
Admission details
- Access the Introduction to Data Science course page with this link: https://www.thisismetis.com/courses/introduction-to-data-science.
- Tap the ‘Enroll’ button to reach a new webpage.
- Choose a course date, enter your details in the form, agree to the terms and tap the ‘Proceed to Payment’ button.
- You will now reach the payment page. Simply pay the specified amount to join the Introduction to Data Science programme by Metis.
Filling the form
You have to fill out an application form to join the Introduction to Data Science classes course. The form requires you to enter your name, email, mobile number and GitHub username. You also have to specify your residency info, education details and complete mailing address. Lastly, you have to write a brief introduction and provide referral info (if any) before applying to the course.
How it helps
The Introduction to Data Science programme by Metis provides you with the chance to learn from world-class instructors. You will learn through interactive classes and have continuous support from the Assistant instructor as well.
You can ask questions through conversations and polls to clear any doubts. Moreover, you will get 24/7 access to the recorded lectures. You will also get an Online Introduction to Data Science certificate to showcase your learnings.
FAQs
Can I get a sample class before enrolling?
Yes, you can get a 1-hour on-demand class for free on the Metis’ Introduction to Data Science course page.
How will I get access to the course curriculum of Online Introduction to Data Science?
You will access the Introduction to Data Science curriculum through GitHub.
What if I miss a live class?
In case you miss a class, you will have the option to view all the recordings of the Introduction to Data Science programme lectures 24/7.
Do I have to know Python before joining the Introduction to Data Science course?
Yes, you must have basic familiarity with Python before joining the course.
How to get in touch with Metis in case of additional queries?
You can submit your queries related to the Introduction to Data Science programme by sending an email to info@thisismetis.com.
