- Course Introduction
- Modern Data Ecosystem
- Key Players in the Data Ecosystem
- Defining Data Analysis
- Viewpoints: What is Data Analytics?
- Responsibilities of a Data Analyst
- Viewpoints: Qualities and Skills to be a Data Analyst
- A Day in the Life of a Data Analyst
- Viewpoints: Applications of Data Analytics
Beginner
Online
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course overview
This Introduction to Data Analytics certification course provides a gentle introduction to data analysis principles, the role of a data analyst, and the techniques used to execute everyday tasks. The enrolled candidate will acquire knowledge of the data environment as well as the foundations of data processing, such as data collection and data mining. This Introduction to Data Analytics training in the course would teach students how to tell the difference between a data engineer, data scientist and data analyst.
They will understand what a data analyst's duties are and what data analysis entails. In order to attain Introduction to Data Analytics certification at the end, the candidate will be able to compile an overview of the data environment, including databases and data warehouses. Following that, students can learn about the key vendors in the data environment and investigate the different technologies available on-premise and in the cloud.
Continue on this thrilling trip to learn about Hadoop, Hive, and Spark, as well as other big data platforms. The candidate will begin by studying the basics of data collection and how to classify data sources. They'll then learn how to use visualizations and dashboard software to clean, interpret, and distribute the results. All of this culminates in the final assignment, which will assess their understanding of the course content, discuss what it means to be a Data Analyst, and have a real-world application.
The highlights
- 100% Introduction to Data Analytics online course
- Based on flexible deadlines
- Beginner’s level course
- Required eleven hours to complete
- Certification programme
- Taught by top companies
Program offerings
- Sharable certification
- Regular lectures
- Constant feedback
- Technical support
- Reading materials
- Assessments
- Examination
- Quizzes
Course and certificate fees
Introduction to Data Analytics fees
Particulars | Fee Amount in INR |
Introduction to Data Analytics (audit only) | Free |
Introduction to Data Analytics - 1 month | Rs. 3,252/- |
Introduction to Data Analytics - 3 months | Rs. 6,504/- |
Introduction to Data Analytics - 6 months | Rs. 9,756/- |
certificate availability
certificate providing authority
Eligibility criteria
Education
No prior knowledge of data analysis, spreadsheets, or computer science is required for this Introduction to Data Analytics certification course. To get started, candidates only need simple computer literacy, high school algebra, and a modern web browser such as Chrome or Firefox.
Certification qualifying details
The candidates are required to make the fee payment to get the certificate of completion for Introduction to Data Analytics by Coursera. They are required to also complete the programme successfully.
What you will learn
The candidate will learn the following dynamics in the Introduction to Data Analytics programme -
- The candidate will learn how learning these skills will allow them to make data-driven decisions.
- After that, the candidate would learn the soft skills needed to successfully distribute data to stakeholders.
- Students will be able to imagine the working life of a Data Analyst by the conclusion of this Introduction to Data Analytics certification syllabus, recognize the various career opportunities available in data analytics, and recognize the many tools available for mastering this discipline.
- The enrolled students will master the fundamentals of data processing in this course.
- Candidates could make differentiation in the roles and positions in the data analytics world.
- They would be able to entail the responsibilities on the practical framework to understand better.
- Soft skills that are necessary for the field will be taught to the students while studying that particular programme.
- Various tools and their applicability will be taught to the students in between the course.
Admission details
Students must follow the below-mentioned steps to get enrolled in the Introduction to Data Analytics online course.
Step 1: Get a complete look at what this course is actually about and what it contains on https://www.coursera.org/learn/introduction-to-data-analytics#about.
Step 2: Candidates can take a free trial for seven days, choose the option “enroll for free”.
Step 3: Candidate will be directed to the page for choosing the particular course, choose Introduction to Data Analytics certification course.
Step 4: Further, candidates need to confirm whether he or she wants to take a free trial for seven days or not, if yes then choose “start the free trial”.
Step 5: The candidate will be directed to the payment page.
Step 6: Candidate is successfully enrolled.
The syllabus
Module 1: What is Data Analytics
Videos
Readings
- Data Analytics vs. Data Analysis
- Summary and Highlights
- Summary and Highlights
Quizzes
- Practice Quiz
- Graded Quiz
- Practice Quiz
- Graded Quiz
Discussion Prompt
- Introduce yourself
Module 2: The Data Ecosystem
Videos
- Overview of the Data Analyst Ecosystem
- Types of Data
- Understanding Different Types of File Formats
- Sources of Data
- Languages for Data Professionals
- Overview of Data Repositories
- RDBMS
- NoSQL
- Data Marts, Data Lakes, ETL, and Data Pipelines
- Foundations of Big Data
- Big Data Processing Tools
Readings
- Summary and Highlights
- Summary and Highlights
Quizzes
- Practice Quiz
- Graded Quiz
- Practice Quiz
- Graded Quiz
Module 3: Gathering and Wrangling Data
Videos
- Identifying Data for Analysis
- Data Sources
- How to Gather and Import Data
- What is Data Wrangling?
- Tools for Data Wrangling
- Data Cleaning
- Viewpoints: Data Preparation and Reliability
Readings
- Summary and Highlights
- Summary and Highlights
Quizzes
- Practice Quiz
- Graded Quiz
- Practice Quiz
- Graded Quiz
Module 4: Mining & Visualizing Data and Communicating Results
Videos
- Overview of Statistical Analysis
- What is Data Mining?
- Tools for Data Mining
- Overview of Communicating and Sharing Data Analysis Findings
- Viewpoints: Storytelling in Data Analysis
- Introduction to Data Visualization
- Introduction to Visualization and Dashboarding Software
- Viewpoints: Visualization Tools
Readings
- Summary and Highlights
- Summary and Highlights
Quizzes
- Practice Quiz
- Graded Quiz
- Practice Quiz
- Graded Quiz
Module 5: Career Opportunities and Data Analysis in Action
Videos
- Career Opportunities in Data Analysis
- Viewpoints: Get into Data Profession
- Viewpoints: What do Employers look for in a Data Analyst?
- The Many Paths to Data Analysis
- Viewpoints: Career Options for Data Professionals
- Viewpoints: Advice for aspiring Data Analysts
- Viewpoints: Women in Data Professions
Readings
- Summary and Highlights
- Using Data Analysis for Detecting Credit Card Fraud
- Congratulations and Next Steps
- Course Credits and Acknowledgements
Quizzes
- Practice Quiz
- Graded Quiz
Peer Review
- Peer-Graded Final Assignment
Scholarship Details
Scholarship or financial aid is provided to support Introduction to Data Analytics training, the candidate needs to get verified and for that, he needs to submit all the documents that are asked for. This verification will take time of fifteen days minimum.
How it helps
The candidate will get an opportunity to learn from the fundamentals and aspects in the field of data analytics as of the Introduction to Data Analytics certification benefits. This course gives users a gentle introduction to data analysis concepts, the position of a data analyst, and the methods used to complete common tasks.
The student can learn about the data world as well as the fundamentals of data analysis, such as data storage and data mining. This section of the course will show students how to distinguish between data analysts, data scientists, and data engineers. They'll know what a data analyst's job means, as well as what data analysis entails.
The applicant will be expected to assemble an outline of the data world, including databases and data, in order to earn the Introduction to Data Analytics credential at the conclusion of the achievement of the Introduction to Data Analytics certification benefits in the course. The nominee will begin by learning the fundamentals of data collection and data classification. They'll also learn how to scrub, visualize, and share the data using visualizations and dashboard tools. Candidates will find world-quality education that will help them to learn the course more efficiently.
Instructors
Mr Rav Ahuja
Global Program Director
IBM
B.E /B.Tech, MBA
FAQs
The course will be taught completely in English medium only.
Yes, the financial aid is provided in association with this but candidates need to get verified for that and this process will take at least a time period of fifteen days.
The candidates must have knowledge of computer and high school maths to get admission to this programme.
Candidates can seek info about the course on https://www.coursera.org/learn/introduction-to-data-analytics#about before enrolling in it.
The course will be taught by Rav Ahuja and it’s offered by IBM.
The candidate just needs to choose the option “enroll for free”, after enrolling, the candidate will be directed to the page where he has access to the free trial for the course.
The level of the program is beginner’s level.
Yes, all of the lectures will be filmed in the form of video, and candidates will be able to view them from the course's home page after enrolling.
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