Course Overview
This Data Analyst course, delivered in
collaboration with IBM by Simplilearn, accelerates your career as an
experienced Data Analyst by providing you with world-class data analytics
training and skills.
This Data Analyst course provides expert-led
instruction and hands-on experience to help you master high-level data
analytics tools and technologies. You will gain experience working with various
data analytics concepts such as working with SQL databases, R and Python,
descriptive and inferential statistics, hypothesis testing, regression
analysis, forecasting, creating data visualizations, apply statistics and
predictive analytics in a real-world business environment. Transform your
career in the field of data analytics by deep diving into all angles of data
interpretation and gaining a competitive edge in your field.
What you will learn
By the end of this
Data Analyst course, you will have learned:
•
Understand
important statistical concepts such as central tendency, dispersion, correlation,
and regression.
•
Understand
SQL concepts such as the Universal Query Tool and the SQL command.
•
Create
your first Python program by incorporating variables, strings, functions,
loops, and conditions.
•
Learn
the intricacies of Python's lists, sets, dictionaries, conditions and
branching, objects, and classes.
•
Python
data manipulation includes reading and writing files, loading, working with,
and saving data with Pandas.
•
Learn
how to interpret and apply data in Python using multidimensional arrays, data
manipulation, and machine learning in a variety of software including NumPy,
Pandas, the SciPy library, and Scikit-Learn.
•
Learn
about several Python data visualization libraries, such as Matplotlib, Seaborn,
and Folium.
•
Gain
a thorough understanding of the fundamentals of R and learn how to write your
own R scripts.
•
Learn
R programming and how various statements in R are executed.
•
Recognize
and apply linear and nonlinear regression models, as well as classification
techniques, for data analysis.
•
Learn
and apply clustering techniques such as K-means, DBSCAN, and hierarchical
clustering.
•
Learn
the fundamentals of business analytics by using Excel, Microsoft Analytics, and
visualization tools like Power BI.
•
Learn
the fundamentals of Tableau Desktop 10, as well as how to use Tableau
statistics and create interactive dashboards.
•
Learn
how to use basic visualization techniques such as heat maps, treemaps,
waterfalls, Pareto charts, Gantt charts, and market basket analysis.
You
will gain the following interpersonal skills along the way:
•
Analytical
thinking
•
Communication
skills
•
Data-driven
decision making
•
Critical
thinking skills
Course Structure
Become a data analyst
expert by delving into the fundamentals of data analytics through five courses.
This Data Analyst
Online Bootcamp course is a comprehensive course that, when completed,
demonstrates your extensive knowledge and industry-related training in the data
analytics field.
Throughout this
course, you will gain applied knowledge and hands-on skills by working on various
simulations, real-world projects, and case studies. The course content for this
online course is summarized below.
Who is this course
for?
Professionals who want
to succeed in this Data Analyst Bootcamp should have the following skills:
- Basic mathematical
knowledge
The Data Analyst
Bootcamp program is intended for both new and experienced professionals.
Aspiring professionals
with any educational background who have an analytical mindset are best suited
to pursue the Data Analyst Bootcamp course, which includes:
1. IT professionals
2. Banking and finance professionals
3. Marketing managers
4. Sales professionals
5. Supply chain network managers
6. Beginners in the data analytics domain
7. Students in undergraduate and
post-graduate programs
