Try this Advanced Data Analytics Course by Perfect eLearning Today!

Perfect e-learning

16 June 2023

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Course Overview

The Data Analytics Advanced Course by Perfect eLearning is a comprehensive program designed to teach participants the fundamentals of data analytics. The course covers data analysis, visualization, modeling, and manipulation using popular data analytics tools such as Python, SQL, and Tableau. Participants will learn how to collect, clean, and transform data, analyze and visualize data using statistical techniques, and develop data models to gain insights into complex data sets. This course is ideal for beginners and professionals who want to learn data analytics, enhance their skills and explore the fundamentals of Data Analytics.

"This course is designed to provide participants with a strong foundation in data analytics and equip them with the skills needed to work with complex data sets."

- Perfect eLearning

Course Structure

The course is structured into several modules, each covering a specific aspect of data analytics, namely:

Introduction to Data Analytics
This module covers the basics of data analytics, including data types, data sources, data cleaning, and data transformation. Participants learn how to collect and prepare data for analysis.
Data Analysis with Python
This module covers the basics of data analysis with Python, including data manipulation, data visualization, and statistical analysis. Participants will learn to analyze and visualize data using Python libraries such as NumPy, Pandas, and Matplotlib.
Data Modeling with SQL
This module covers the basics of data modeling with SQL, including data modeling concepts, techniques, and database design. Participants will learn how to develop data models using SQL and apply data modeling techniques to complex data sets.
Data Visualization with Tableau
This module covers the basics of data visualization with Tableau, a popular data visualization tool. Participants will learn how to create and customize data visualizations using Tableau and communicate insights effectively.

Overall, the data analytics course is designed to provide participants with a strong foundation in data analytics and equip them with the skills needed to work with complex data sets. The course also includes hands-on training, assignments, quizzes, and a final project allowing participants to apply what they have learned. You can learn Data Analytics to build an impressive career as a Data Analyst.

Insider Tips

Assessment

There are quizzes and assignments at the end of each module to assess the
participant's understanding of the topics covered. Participants also get to work on a final project that involves developing a data model and creating data visualizations.

Hands-on training:

The course includes hands-on training allowing participants to practice what they have learned in the real world. Participants get to work on case studies and complete assignments that simulate real-world scenarios.

Pre-requisites

There are no specific prerequisites for this course. However, basic knowledge of statistics and programming concepts and familiarity with any programming language is helpful.

Placement Assistance

Perfect eLearning assists participants who successfully complete the course. Participants can access job boards, interview preparation materials, and career counseling sessions to find employment in the field of data analytics.

Learning Material

Participants will receive access to high-quality learning material that includes videos, presentations, case studies, and other resources. They can access this material anytime and from anywhere, using any device with an internet connection.

Final Take

This is an excellent program for anyone who wants to learn data analytics. The course was pocket friendly and helped me develop an interest in the field. It covers various data analytics concepts, including data analysis, modeling, and visualization using popular Python, SQL, and Tableau tools. The faculty’s teaching style, depth of knowledge, and willingness to answer questions are praiseworthy. As a learner, the practical tools and references provided in the course were of immense help.

Overall, I recommend this course to anyone looking to improve their data analytics skills or pursue a career in this field. After doing this course, I was able to find an internship as well.

I found the Android app development course helpful and praised their instructor, Jyoti Sharma, for making coding easier to understand.

Key Takeaways

Understand how to create and customize data visualizations using Tableau. Learn how to develop data models using SQL and apply data modeling techniques to complex data sets.

Study how to analyze and visualize data using Python libraries such as NumPy, Pandas, and Matplotlib

Work on case studies and complete assignments that simulate real-world scenarios

Learn to collect and prepare data for analysis

Get placement assistance

Course Instructors

Perfect e-learning

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