Best Seller Icon Bestseller

ADVANCE DIPLOMA In DATA ANALYTICS WITH PYTHON(M-DAWP-3725)

  • Last updated Jun, 2026
  • Certified Course
Video Images
Preview this course
₹40,000 ₹50,000
  • Duration5 Months
  • Enrolled6
  • Lectures50
  • Videos4
  • Notes1
  • CertificateYes

What you'll learn

10 TH PASS


DOCUMENTS :

AADHAR CARD

PHOTO

Show More

Course Syllabus

A comprehensive "Data Analytics with Python" syllabus typically covers Python fundamentals, data manipulation, statistical analysis, data visualization, and an introduction to machine learning using key libraries like Pandas, NumPy, and MatplotlibCourseraCoursera

 +4

Core modules often include:

1. Python Fundamentals

This section focuses on the building blocks of the Python language for data professionals. CourseraCoursera

  • Introduction to Python: Overview, environment setup (e.g., Anaconda, Jupyter Notebook), and basic syntax.
  • Data Structures: Understanding and using lists, tuples, dictionaries, and sets.
  • Control Flow: Implementing conditional statements (ifelifelse) and loops (forwhile).
  • Functions and OOP: Defining and calling functions for modularity, and an introduction to Object-Oriented Programming (OOP) concepts. Sona College of TechnologySona College of Technology
  •  +4

2. Data Wrangling and Preprocessing

This module is crucial for preparing raw data for analysis. CourseraCoursera

  • Importing/Exporting Data: Reading and writing data from various sources like CSV, Excel, and SQL databases.
  • Data Cleaning: Handling missing values, duplicates, and formatting inconsistencies.
  • Data Transformation: Techniques such as filtering, sorting, aggregation, normalization, and binning.
  • Combining Data: Merging and joining datasets using Pandas. CourseraCoursera
  •  +4

3. Numerical Analysis and Statistics

This area focuses on the mathematical and statistical foundations using Python libraries. Department of Computer Science - University of DelhiDepartment of Computer Science - University of Delhi

 +4

  • NumPy: Working with multidimensional arrays for numerical operations.
  • Statistical Concepts: Descriptive statistics (mean, median, variance), probability theory, and distributions.
  • Hypothesis Testing: Covered topics often include t-tests, chi-square tests, and ANOVA. UC San Diego Extended StudiesUC San Diego Extended Studies
  •  +4

4. Data Visualization and Exploration (EDA)

Learning to create meaningful visualizations to communicate insights. Department of Computer Science - University of DelhiDepartment of Computer Science - University of Delhi

 +2

  • Libraries: Using Matplotlib and Seaborn for plotting.
  • Plotting Techniques: Creating line plots, bar charts, histograms, scatter plots, heatmaps, and more.
  • Storytelling: Communicating results effectively through visualizations. UC San Diego Extended StudiesUC San Diego Extended Studies
  •  +4

5. Introduction to Machine Learning

Many syllabi include fundamental machine learning concepts using scikit-learnUC San Diego Extended StudiesUC San Diego Extended Studies

  • Supervised Learning: Basics of linear and logistic regression, and decision trees.
  • Unsupervised Learning: Introduction to clustering algorithms like K-means.
  • Model Evaluation: Understanding metrics like accuracy, precision, and recall. Coursera
  •  +4

Key Libraries Used

  • Pandas for data manipulation and analysis.
  • NumPy for numerical operations.
  • Matplotlib and Seaborn for data visualization.
  • Scikit-learn for machine learning Coursera


Course Fees

Course Fees
:
₹50000.00/-
Discounted Fees
:
₹ 40000.00/-
Course Duration
:
5 Months

Review

5.0
Course Rating (2 reviews)
100%
0%
0%
0%
0%


Programme

DITRP Self-Employment Courses Programme

DITRP Self-Employment Courses are created for individuals who want to develop practical, skill-based knowledge and generate independent earning opportunities through freelancing, home-based work, local services, professional services, or small business activities. These programs are designed to encourage self-reliance by helping learners build career-oriented skills beyond traditional employment options.

DITRP self-employment training programs offer exposure to a variety of practical and vocational sectors, including beauty and wellness services, tailoring, fashion designing, computer applications, typing, accounting fundamentals, digital marketing, online business promotion, vocational training, and local business support services.

These courses are beneficial for students, women learners, homemakers, rural and semi-urban youth, freelancers, job seekers, beginners, and small business owners who wish to gain practical expertise and explore skill-based earning opportunities through authorized training centres.


Programme

DITRP Job-Oriented Courses Programme

DITRP Job-Oriented Courses are developed to provide practical and career-focused training that helps learners enhance their employability, build confidence, and prepare for professional work environments. These programs emphasize skills that are widely required across offices, businesses, service organizations, educational institutions, digital workplaces, and local employment sectors.

DITRP job-oriented training programs offer practical learning opportunities in various fields, including computer applications, MS Office, Advanced Excel, accounting, Tally, GST, digital marketing, typing, communication skills, soft skills, interview preparation, vocational training, and self-employment-based learning.

These courses are suitable for students, graduates, job seekers, working professionals, women learners, and beginners who aim to strengthen their career prospects and develop industry-relevant skills. Institutions can also partner with DITRP as authorized training centres to provide job-oriented courses and skill development programs within their local regions.


Important: DITRP is an autonomous private skill development and certification organization. DITRP certifications are skill-oriented private certifications created to support career advancement, vocational education, self-employment opportunities, and professional development. As a private organization, DITRP provides Private certifications, and their recognition or eligibility may vary depending on the employer, institution, department, or intended purpose.

DITRP operates as an independent private skill development and certification body. Course structure, training methodology, and syllabus may also be customized according to the teaching approach of the institute or faculty members to ensure effective learning outcomes. The acceptance and applicability of DITRP certifications may differ according to the policies of various employers, institutions, or organizations.

Note: The Course Content & Syllabus provided is intended as a general guideline for the course. The curriculum has been designed considering institutional teaching methods, faculty expertise, learner demand, and industry requirements to ensure practical and effective training. The actual course duration, class schedule, training methodology, and mode of delivery may vary depending on the training institute or course provider. Course content may also be updated or modified from time to time according to learning requirements, industry standards, and regional needs.


Call
Text Message
Review
Email
CHAT