Data Analysis Essentials

Online Course | 40 hour | Certificate Included
Deepen your analytical prowess with advanced techniques in Python, R, SQL, and data visualization tools.
3.0
(1)
2 Enrolled
40 hours

About Course

Deepen your analytical prowess with advanced techniques in Python, R, SQL, and data visualization tools.                                                                                                                          The “Data Analysis Essentials” course offered by IFACET IITK is tailored for individuals interested in mastering fundamental data analysis skills. This online live course spans 40 hours over two months, providing an in-depth understanding of data analysis through modules on exploratory data analysis and visualization, statistical analysis and hypothesis testing, SQL and database querying, and business intelligence and reporting. Participants will engage in hands-on projects using tools like Python, R, Tableau, and Power BI, and will receive a certificate upon completion. The course is suitable for individuals with a background in programming or data analytics.

Overview of course – 

  • Start Date : 15th Jan 2023
  • Course Type: Online Live Course
  • Duration: 40 hours 
  • Total Lectures: 20
  • Skill Level: Intermediate
  • Assessments: Assignments & Projects 
  • Certificate: Yes 

For Self-Paced Programs: 2 Doubt Session(s)/Master Classes

Faculty Members – 

  • S. Aggarwal
  • Nandan Mishra
  • Niraj T.
  • Shantam D.
  • U. Tiwari
  • S. Garg

Delivery Mode & Duration – 

  • Online Live Mode- 2 Months (40 Hours Online Live sessions + 60 Hours of Assignment and Hands on)

 

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What Will You Learn?

  • Perform exploratory data analysis and effectively visualize data using appropriate tools.
  • Apply statistical analysis techniques and hypothesis testing to draw meaningful conclusions from data.
  • Gain proficiency in querying databases using SQL for data retrieval and manipulation.
  • Develop skills in business intelligence tools and reporting to present insights in a clear and concise manner.
  • Acquire practical expertise in data analysis and reporting to support data-driven decision-making.

Audience

  • Anyone interested in learning the fundamentals of data analysis and pursuing a career in this growing field.
  • Suitable for individuals with a background in programming, database management, or data analytics.

Course Content

Exploratory Data Analysis and Visualization (10 hours)

  • Introduction to data exploration techniques and data profiling.

Instructors

I

ikigaischool

4.4
22 Students
15 Courses

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Review (1)

  1. 2 years ago
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