Data Analysis Essentials

The Data Analyst course is a comprehensive 40-hour program designed to equip students with the essential skills and knowledge to excel in the field of data analysis. This course focuses on exploratory data analysis and visualization, statistical analysis and hypothesis testing, SQL and database querying, and business intelligence and reporting. Through hands-on exercises and real-world examples, students will gain practical experience in extracting insights from data, performing statistical analysis, querying databases, and creating meaningful visualizations and reports. By completing this course, students will be well-prepared to pursue a career as a Data Analyst and contribute to data-driven decision-making processes in organizations. 

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Course Date

1st December 2023

Duration

40 hrs.

Delivery Format

Online Live

Why to Join This Course

Earn a program completion certificate from the prestigious E&ICT Academy, IIT Kanpur.
Utilize Ikigai’s Job Assist feature to enhance your visibility to leading hiring companies.
Attend masterclasses conducted by renowned faculty members from IIT Kanpur.
Engage in hands-on projects tailored to different industry sectors.

Join Our Data Analysis Essentials Today!

Ready to embark on a transformative learning journey? Don’t miss this opportunity to gain valuable skills and elevate your career. Enroll in our comprehensive course today and join a community of learners dedicated to excellence. Take the first step towards unlocking your full potential!

Course Price

₹19,900.00

Key Features

Earn a program completion certificate.
Utilize Ikigai’s Job Assist feature to enhance your visibility to leading hiring companies.
Attend masterclasses conducted by renowned faculty members from IIT Kanpur.
Top-notch curriculum with integrated labs
Engage in hands-on projects tailored to different industry sectors.
Explore and apply practical tools and frameworks that can significantly enhance your work.
Enjoy smooth access to integrated labs for a seamless learning experience
Conclude the program with capstone projects spanning three distinct domains

Curriculum for Data Analysis Essentials

Module 1: Exploratory Data Analysis and Visualization (10 hours) 

  • Introduction to data exploration techniques and data profiling. 
  • Principles and best practices of data visualization. 
  • Chart types and graphs for different data types. 
  • Exploratory data analysis using Python or R. 
  • Interactive data visualization tools (e.g., Tableau, Power BI). 
  • Hands-on project: Performing data exploration and creating interactive visualizations. 

Module 2: Statistical Analysis and Hypothesis Testing (10 hours) 

  • Descriptive statistics and data distribution analysis. 
  • Formulating hypotheses and conducting significance testing. 
  • Parametric and non-parametric tests for data analysis. 
  • Correlation and regression analysis. 
  • Statistical analysis using Python or R. 
  • Hands-on project: Applying statistical techniques to draw insights from data. 

Module 3: SQL and Database Querying (10 hours) 

  • Introduction to relational databases and SQL. 
  • Data manipulation using SQL (e.g., SELECT, JOIN, GROUP BY). 
  • Filtering and sorting data in SQL. 
  • Aggregate functions and subqueries in SQL. 
  • Database management using SQL. 
  • Hands-on project: Writing SQL queries to retrieve and manipulate data. 

Module 4: Business Intelligence and Reporting (10 hours) 

  • Introduction to business intelligence tools (e.g., Power BI, Tableau). 
  • Designing interactive dashboards and reports. 
  • Data modeling and preparation for reporting. 
  • Creating calculated measures and KPIs. 
  • Dashboard publishing and sharing. 
  • Hands-on project: Creating interactive dashboards and reports using a business intelligence tool. 

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Eligibility Criteria

For admission to this Professional Certificate course in Data Analyst Course, candidates should have: 

  • Basic Programming Knowledge 
  • Database Fundamentals 
  • Data Analytics Basics 
  • Mathematics and Statistics (recommended but not mandatory) 
  • Data Analysis Tools (e.g., Pandas, NumPy, SQL) (recommended but not mandatory) 

Course Outcomes

Upon completion of this course, students will be able to: 

  • Conduct exploratory data analysis and visualize data using appropriate charts and graphs. 
  • Apply statistical analysis techniques, such as descriptive statistics and inferential statistics, to gain insights from data. 
  • Utilize SQL queries to retrieve and manipulate data from databases efficiently. 
  • Create interactive dashboards and reports using business intelligence tools. 
  • Present data analysis findings and insights in a clear and concise manner to stakeholders. 

FAQ for Data Analysis Essentials Course

For admission to this Data Analyst Course, candidates should have: 

  • A bachelor’s degree with an average of 50 percent or higher marks 
  • Prior work experience is not mandatory 
  • Can be from a programming or non-programming background

The admission process for this Data Analyst Course consists of three simple steps: 

  •  All interested candidates are required to apply through the online application form 
  • An admission panel will shortlist the candidates based on their application 
  • An offer of admission will be made to the selected candidates, which can then be accepted by the candidate by paying the program fee. 

As a part of this Data Analyst Course you will receive the following: 

  •  Masterclasses delivered by distinguished IIT Kanpur faculty 
  • Program completion certificate from E&ICT Academy, IIT Kanpur 
  • Ikigai Career Assistance post-completion of this program 

Upon successful completion of this Data Analyst Course, you will be awarded a certificate of completion by E&ICT Academy, IIT Kanpur, and industry-recognized certification from Ikigai for courses in the learning path. 

This Data Science Course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device. 

We offer 24/7 support through email, chat, and calls. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after the completion of your Deep Learning and Generative AI course.

Contact us using the form on the right side of any page on the Ikigai website, select the Live Chat link, or contact Help & Support. 

Admission Process

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.
1

Submit Application 

Tell us a bit about yourself and why you want to do this program 

2

Application Review 

An admission panel will shortlist candidates based on their application 

3

Enrolment

Selected candidates can join the program by paying the admission fee 

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