1. career path in the Data Science field. Data science has
witnessed recent remarkable growth due to the
abundance of electronic data, computing power,
advancements in artificial intelligence,
and its demonstrated business value. In the United
States , the US Bureau of Labor Statistics projects a
35% growth rate in the field. Currently, the median
annual salary is an estimated $103,000. So, begin your
journey into this thriving and fascinating field with
this course! Its increased adoption across industries
has fueled demand for skilled data scientists who can
use data to tell compelling stories
to transform and inform businesses. In this
introductory course, learn about these opportunities
and investigate the needed career skills to become a
data scientist. Additionally, this course will help
managers and executives who want to learn about
this field to help transform
their organization to become more data-driven. This
course is designed for beginners, so you don't need
prior knowledge or
a degree in data science or programming. It serves as
an introduction to the field. Take this course if you
are
curious about data science and how and why data
science
2. is transforming our world. Learn about concepts
such as “Big Data,” different branches of artificial
intelligence, and how data science leverages these
ideas to uncover and tell hidden stories. This course
is the first in several other
specializations and programs, including: IBM Data
Science Professional Certificate Introduction to Data
Science Key Technologies for Business IBM AI
Foundations for Business. You will meet several data
scientists who will share their insights
and experiences in Data Science. You’ll have a
foundational understanding of data science through
instructional videos and videos with data science
professionals, readings, practice assessments
where you can practice your skills, glossaries for
your reference, and a video that summarizes each
lesson. At the end of the course, you will have a case
study and a quiz based on it as a final assignment.
You explore Data Science job listings
in the final peer-reviewed project. Let’s take a more
detailed view of the course content. The course is
divided into three modules, plus an optional module.
In the first lesson, you’ll explore what data science is,
the data scientist’s role in an organization,
3. and what makes a skilled data scientist. Then, you
continue this module by learning about what data
scientists do. You'll also learn essential skills
for becoming a good data scientist and why
significant data matters. You'll explore handling
different file types, study data science topics and
algorithms, and discuss the qualities
that define a data scientist. In Module 2, Lesson 1,
you’ll explore the interaction of Big Data and Cloud
Computing in driving digital transformation. You
will also learn foundational concepts, key tools, and
data mining techniques essential for
data scientists in this dynamic landscape. In the
second module lesson, you’ll dive into the exciting
concepts of artificial intelligence and data science.
Throughout this module, you will explore artificial
intelligence concepts like machine learning and deep
learning, gaining valuable insights and skills. In the
third module, you’ll embark on a journey
to explore the vast and impactful realms where data
science plays a pivotal role. This engaging module
delves into various activities that shed light on the
diverse applications of data science today. In
addition to these three modules, you are also offered
an optional module
4. if you’d like to familiarize yourself with data literacy
concepts for data science
and where you will learn about the data ecosystem.
Topics include sources of data that
data professionals use in their day-to-day tasks and
distinguish between databases,
data warehouses, data marts, and data lakes. You
gain a basic understanding of how data gets
processed, such as the Extract, Transform, and Load
(ETL)processes, and working with Data Pipelines.
While participating in the course,
if you encounter challenges or have questions, you
can find support and answers and connect with other
learners and support staff in the course’s discussion
forums. And now, welcome to the course.
We look forward to you completing this course,
earning a valuable certificate, and continuing
your path to a data science career.
