Overview

The Data Science Fundamentals with Python and SQL Specialization Specialization is offered by Coursera in partnership with IBM. The specialization consists of 5 self-paced online courses that will provide you with the foundational skills required for Data Science, including open source tools and libraries, Python, Statistical Analysis, SQL, and relational databases.

You’ll learn these data science pre-requisites through hands-on practice using real data science tools and real-world data sets.

What you'll learn

Working knowledge of Data Science Tools such as Jupyter Notebooks, R Studio, GitHub, Watson Studio

Python programming basics including data structures, logic, working with files, invoking APIs, and libraries such as Pandas and Numpy

Statistical Analysis techniques including Descriptive Statistics, Data Visualization, Probability Distribution, Hypothesis Testing and Regression

Relational Database fundamentals including SQL query language, Select statements, sorting & filtering, database functions, accessing multiple tables

Advance your subject-matter expertise

Learn in-demand skills from university and industry experts

Master a subject or tool with hands-on projects

Develop a deep understanding of key concepts

Earn a career certificate from IBM

Skills you'll gain

Data Analysis

Probability & Statistics

Python Programming

General Statistics

Mathematical Theory & Analysis

Statistical Programming

Data Visualization

Computer Programming

Programme Structure

Courses included:

Tools for Data Science

Python for Data Science, AI & Development

Python Project for Data Science

Statistics for Data Science with Python

Databases and SQL for Data Science with Python

Key information

Duration

Part-time
- 2 months
- 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

Mountain View, United States

Disciplines

Data Science & Big Data Data Analytics View 466 other Short Courses in Data Science & Big Data in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Beginner level

Recommended experience: Just basic computer literacy and willingness to self-learn online. No prior knowledge of computer science or programming languages required.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

Free
Out-of-State

Free
Domestic

Applies to you

In-State

Free

Additional Details

This short course is included with Coursera Plus subscription

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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Data Science Fundamentals with Python and SQL Specialization Coursera

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