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Data Analysis using Python

Analytics Training for Beginners

Welcome to our Data Analytics Training for Beginners! In today's data-driven world, the ability to extract insights from data is a valuable skill. Whether you come from an economics, management, commerce, or social science background, this course will empower you to harness the power of data analytics using Python, especially when working with Excel data.

Course Overview 

Module 1: Introduction to Data Analytics 

  • Dive into the world of data analytics

  • Discover why Python is your gateway to data-driven insights

  • Basic coding

    • Fundamental of coding- Modules and libraries 

    • Conditional statements and Loop statements 

    • Variables, data types, and essential operations    

    • Applications  

         

Module 2: ​​Excel in Python

  • Importing excel data in Python 

  • Descriptive Statistics ( Measures of central tendency)

  • Measure of variation, Proportion 

  • Minimum, Maximum, Skewness

  • Outlier detection

    • Whisker plot

    •  Histogram

    •  Interquartile range

  • Variable creation and transformation 

  • Count plots, bar graphs, line graphs etc 

  • Missing value detection and replacements

  • Applications based on Descriptive analytics 

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Module 3: Hypothesis Testing​​

  •  Normality tests -

    • Shapiro-Wilk

    • Kolmogorov Smirnov 

  •  One sample t-test

  •  Two sample t-test

  • Paired t-test

  • Anova and Post-hoc test

  • Cross tabulation and Chi-Square test

  • Non-Parametric Tests

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Module 4:Model Building

  • Model Building

    • Simple Linear Regression

    • Multiple Linear regression

    • Logistic Regression 

    • Dummy Variables 

    • Applications

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Module 5: Dimensionality reduction and SEM

  • Dimensionality Reduction

    • Exploratory Factor Analysis 

    • Applications 

  • Structural Equation Modelling (SEM)​

    • Confirmatory Factor Analysis​

    • Path Analysis 

    • SEM

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NEW

Project I

 Managerial Report

Using

Descriptive analytics

Hypothesis Testing

 

Total Marks: 25

Read More
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Project II

Model Building & Dimensionatliy Reduction

Regression

FA

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Total Marks: 25

Read More
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Live Sessions

As a part of the course, we offer 24 to 25 hours of live sessions via Zoom or Google Meet. These live sessions provide you with the opportunity to interact with instructors in real-time, ask questions, and deepen your understanding of the course material. During these sessions, you will receive hands-on guidance and practical insights that will enhance your learning experience.

Completion Certificate

  • Upon successfully completing the course, you will receive a completion certificate.

  • This certificate acknowledges your dedication and proficiency in data analytics using Python.

Exams

  • No formal exams are conducted in this course.

  • Your progress and understanding will be assessed through assignments and practical exercises throughout the modules.

Who Should Attend?​

This course is designed for beginners with no prior programming experience. If you're from economics, management, commerce or social sciences and eager to unlock the potential of data analytics, especially when working with Excel data using open source tools like Python, this course is tailored for you.

Course Features​

  •  Engaging lessons with interactive exercises

  •  Downloadable resources

  • Dedicated instructor to support and personalised feedback

  • Access to Vibrant community forum for questions and discussions

Course Outcomes​

Upon completing this course, you will :

  • Effectively import Excel data into Python

  • Perform required data analysis and create insightful charts

  • Save your analysis results back to Excel, making data management seamless

  • Equip you with the skills for data-driven decision-making 

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Ready to embark on your data analytics journey?

Enroll now and join a community of learners eager to unlock the power of Python and data analytics

  • How do I enroll in a course?
    To enroll in the course, complete the Online registration form with the necessary details specified in the form. This allows us to keep you informed about course updates and enrollment details. Upon successful registration, you will receive an email containing a payment link. Follow the instructions on the payment gateway to make the course fee payment. Please take a screenshot ( payment details) once the payment is made and share it via email for payment confirmation.
  • Who is the Instructor for the courses?
    Our courses are led by an accomplished academician Manoj Morais who is an author of a book on Python and holds the position of Visiting Faculty at esteemed institutions like Christ University, and the Indian Institute of Psychology Research.
  • Do you offer certificate upon course completion?
    Yes, we provide certificate of completion for our courses. These certificates are a testament to your newly acquired skills and can be shared on your professional profiles.
  • Is this course suitable for beginners in Python?
    Yes, our course is designed with foundation in Python programming making it an excellent choice for those who are new to Python and data analysis.
  • Who are we ( Aspire) ?
    We serve as Consultants in data analysis, Research design, and offers Online courses on analytics and computer applications to enhance your skills and career prospects.
  • How are the Courses structured?
    Our courses are structured to offer a dynamic and engaging learning experience. they consist of entirely live sessions, where you'll have direct interaction with instructor in real-time. These sessions are complemented by downloadable PDF materials, ensuring that you have access to comprehensive course content at your convenience.The total course duration is about 24 hours ( 6 hours/week).
  • How do I make the payment for the course?
    Once your registration is completed, you will receive a payment link via email and follow the instructions on the payment gateway to complete the payment for the course.
  • What are the prerequisites for your courses?
    Prerequisites vary by course. Many of our courses are designed for beginners in Python and do not require prior programming experience. However, some advanced courses may have specific prerequisites related to Python proficiency. Please check the course description for detailed prerequisites related to the course you're interested in.
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    To add a new FAQ follow these steps: 1. Manage FAQs from your site dashboard or in the Editor 2. Add a new question & answer 3. Assign your FAQ to a category 4. Save and publish. You can always come back and edit your FAQs.
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    Yes. To add media follow these steps: 1. Manage FAQs from your site dashboard or in the Editor 2. Create a new FAQ or edit an existing one 3. From the answer text box click on the video, image or GIF icon 4. Add media from your library and save.
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