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DAP

Data Analysis with PythonCertificate course in Data Analysis with Python - Data analysis is the process of extracting information from data. It involves multiple stages, including establishing a data set, preparing th…

Duration 3 Months Mode Online / Offline Eligibility graduation CITC Certified Placement Support

Data Analysis With Python (DAP)

Start Date 1 October 2026
Duration 3 Months
Mode Online / Offline
Certification CITC Certified
Batch / Course DAP
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Data Analysis With Python

Data Analysis with Python

CITC Courses Offer


Certificate course in Data Analysis with Python - Data analysis is the process of extracting information from data. It involves multiple stages, including establishing a data set, preparing the data for processing, applying models, identifying key findings, and creating reports. The goal of data analysis is to find actionable insights that can inform decision-making. Data analysis can involve data mining, descriptive and predictive analysis, statistical analysis, business analytics, and big data analytics.

Eligibility: 

To register for a certificate in Data Analytics with Python, students must earn a high school diploma. We provide multiple computer courses at an affordable price in Chandigarh, Mohali, and Kharar.  Learn from the best teachers, and get a valuable certificate, We have a great infrastructure, and a friendly environment, Join Us for a better future in the IT - sector.

Course:

Courses in Data Analysis with Python Online may include subjects such as Data Sets and Data Wrangling & Data Analysis, Importing Data Sets and Exploratory Data Analysis.

Online and offline computer courses are available in CITC  Register Now for a discount.

Course Papers / Subjects

What you will study in this programme

01
Data Sets, Data Wrangling and Data Analysis-Importing Data Sets
02
Model Development, Evaluation and Refinement-Model Development

Syllabus (Module-wise)

Expand each topic for details

Module 1

Course Modules/Papers

  • Data Sets and Data Wrangling and Data Analysis
  • Model Development, Evaluation and Refinement

  • Meaning of Data
  • How to use libraries in Python to import data from Multiple Sources
  • Analysis of Imported Data Set
  • Data Wrangling
  • Performing data wrangling tasks (like handling missing values in data, normalizing data, grouping data values into bins and converting categorical variables into numerical quantitative variables)
  • Meaning of Exploratory Data Analysis
  • Statistical Calculations such as Mean, Median, Mode and Quartile values
  • Using Pearson correlation method to compare two continuous numerical variables
  • Using the Chi-Square test to find the association between two categorical variables

  • Define Explanatory and Response variable
  • Interpretation and use of R-squared and Mean-square Errors measures to perform evaluations
  • Model Evaluation and Refinement
  • Importance of Model Evaluation
  • Understanding Data Model Refinement Techniques

What You Will Learn & Career Scope

Details from the course content


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Frequently Asked Questions

Common questions about this course

DAP stands for Data Analysis with Python. It teaches learners how to extract, process, analyse, and present information from data using Python.

The CITC Data Analysis with Python course has a duration of 3 months. It is available in both online and offline modes.

The current CITC DAP course lists graduation as the eligibility requirement.

DAP stands for Data Analysis with Python. The course focuses on using Python for analysing and working with data.

You will learn the basic process of preparing data, processing it, applying analytical methods, identifying findings, and creating reports.

Yes, Python is a key part of the Data Analysis with Python course and is used for working with and analysing data.

Yes, CITC offers the DAP course in both online and offline modes.

Yes, CITC highlights practical learning as part of the DAP course, helping learners apply data analysis concepts in practice.

Yes, the Data Analysis with Python course is CITC Certified after successful completion.

DAP can help learners build skills for data analysis and Python-based data work, supporting further learning and career opportunities in data-related fields.

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