Description

Course Description:

The Python with Data Analytics Certified Course is designed to equip learners with the essential programming and analytical skills required to process, analyze, and visualize data effectively. This course covers the fundamentals of Python programming, including data structures, libraries like Pandas, NumPy, and Matplotlib, as well as advanced concepts in data analysis, statistical modeling, and real-world data problem-solving. Participants will gain hands-on experience working with datasets, performing data cleaning, transformation, and visualization, and deriving actionable insights for business and research applications. By the end of the course, learners will be proficient in using Python as a powerful tool for data analytics, enabling them to make data-driven decisions and pursue careers as data analysts, business analysts, or data science professionals.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Python with data analytics Certified Course:

• Data Analyst
• Business Analyst
• Data Scientist (Entry-Level)
• Python Developer for Data Analytics
• Marketing Analyst
• Financial Analyst
• Operations Analyst Reporting Analyst
• Healthcare Data Analyst
• Freelance Data Analytics Consultant

Essential Skills you will Develop Python with data analytics Certified Course:

• Python Programming Proficiency
• Data Manipulation and Cleaning
• Data Analysis and Interpretation
• Statistical and Mathematical Analysis
• Data Visualization Skills
• Machine Learning Basics
• Time Series and Trend Analysis
• Problem-Solving and Critical Thinking
• Big Data Awareness
• Project and Portfolio Development

Tools Covered:

• Python
• Jupiter Notebook
• Numbly
• Pandas
• Matplotlib
• Seaborn
• Polly
• Sickie-learn
• SQL / SQLite
• Excel / CSV
• Google Collab

Syllabus:

Module 1: Introduction to Python Basics of Python programming Data types, variables, and operators Conditional statements and loops Functions and modular programming.

Module 2: Data Structures in Python Lists, tuples, sets, and dictionaries Working with nested data structures Comprehensions and iterators.

Module 3: Python Libraries for Data Analytics Introduction to Numbly for numerical computing Pandas for data manipulation Matplotlib & Seaborn for data visualization.

Module 4: Data Collection and Cleaning Importing data from CSV, Excel, JSON, and databases Handling missing values and duplicate Data transformation and normalization.

Module 5: Exploratory Data Analysis (EDA) Descriptive statistics Data summarization and visualization Identifying patterns and correlations.

Module 6: Statistical Analysis with Python Probability concepts and distributions Hypothesis testing Regression analysis (linear & logistic).

Module 7: Data Visualization Techniques Advanced visualization with Matplotlib and Seaborn Interactive dashboards using Polly Storytelling with data visuals.

Module 8: Introduction to Machine Learning Overview of supervised and unsupervised larnin Building simple predictive models Model evaluation metrics

Module 9: Time Series and Big Data Analytics Working with time-series data Trend and seasonality analysis Introduction to big data concepts with Python.

Module 10: Real-World Projects and Case Studies Hands-on projects with real datasets Business case studies and decision-making insights Portfolio building for career readiness.

Industry Projects:

• Sales Data Analysis Project
• Customer Segmentation Project
• Stock Market Analysis and Prediction
• Healthcare Data Analytics Project
• Marketing Campaign Analysis
• Real-World Business Case Studies

 Who is this program for?

• Aspiring Data Analysts and Data Scientists
• Working Professionals
• Students and Graduates
• Python Enthusiasts
• Entrepreneurs and Business Owners
• Researchers and Academics

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com