Introduction to Data Science

BY
Metis

Learn about the foundational Data Science concepts by joining the Introduction to Data Science course by Metis.

Mode

Part time, Online

Duration

6 Weeks

Fees

$ 499 750

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
$ 499  $750

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

Statistical skills Data science knowledge Knowledge of python

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.

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