Shopping cart

empty-cart

Your Cart is empty

Go To Shop

Core IT Trainings

At Core IT Trainings, we offer expert IT training and visa support tailored to your needs.

Information

Follow Us

OUR TOP Program

Courses / Database / Python for Data Analysis: From Basics to Advanced Insights
Database
0 /0

Python for Data Analysis: From Basics to Advanced Insights

Training

Real-time, Hands-on, & Practical

Certification

Course Completion Certificate

Support

Job Assistance & Career Guidance

Payment Plan

Interest Free Installment Option

About Course

Start your journey in data analysis with Python! This Python for Data Analysis course offers an immersive, hands-on approach to mastering data analysis. Designed for data professionals, students, and anyone eager to gain analytical skills, this program explores Python’s capabilities in handling, processing, and visualizing data. Why should you learn this course? Python has become the go-to language for data science, and with powerful libraries like NumPy, Pandas, and Matplotlib, it enables efficient data analysis and impactful visualizations. This course takes you through Python essentials, control structures, and advanced data handling, ensuring you build a solid foundation.

Over 1 month, you’ll dive into real-world data projects, learning how to clean, manipulate, and analyze data, with exercises tailored to enhance practical skills. Each module is crafted to foster confidence and competence, as you’ll learn not only to analyze data but to derive actionable insights from it. With a focus on interactive learning, this course integrates mini-projects and a final capstone project to ensure you’re ready to apply your skills in real-world situations.

Don’t miss the chance to transform your data skills! Enroll now and become proficient in Python for Data Analysis, a vital skill in today’s data-driven world.

Show More

What Will You Learn?

  • Understand Python basics, including syntax, variables, and data structures.
  • Master data handling and manipulation using NumPy and Pandas.
  • Create impactful visualizations with Matplotlib, Seaborn, and Plotly.
  • Conduct Exploratory Data Analysis (EDA) for meaningful data insights.
  • Apply data preprocessing, feature engineering, and data scaling.

Course Curriculum

Module 1: Introduction to Python

  • Python installation and setup
  • Introduction to Jupyter Notebooks
  • Basic syntax, variables, and data types

Module 2: Control Structures

  • Conditional statements (if, elif, else)
  • Loops (for, while)
  • Break and continue statements

Module 3: Functions and Modules

  • Defining and calling functions
  • Function arguments and return values
  • Importing and using modules

Module 4: Data Structures

  • Lists and list operations
  • Tuples and tuple operations
  • Dictionaries and dictionary operations
  • Sets and set operations

Module 5: Working with Strings

  • String methods and formatting
  • Regular expressions

Module 6: File Handling

  • Reading from and writing to files
  • Working with different file types (txt, csv)

Module 7: Error Handling and Exceptions

  • Try, except, finally
  • Custom exception handling

Module 8: Numpy and Pandas Basics

  • Introduction to NumPy
  • NumPy arrays and basic operations
  • Array indexing and slicing

Module 9: Advanced NumPy

  • Mathematical functions with NumPy
  • Broadcasting and vectorized operations

Module 10: Introduction to Pandas

  • Series and DataFrame creation
  • Basic DataFrame operations

Module 11: DataFrame Manipulation

  • Indexing and selecting data
  • Handling missing data

Module 12: Data Cleaning with Pandas

  • Renaming columns, dropping columns
  • Changing data types

Module 13: Working with Dates and Times

  • Date and time manipulation with Pandas
  • Time series analysis basics

Module 14: Data Aggregation and Grouping

  • GroupBy operations
  • Aggregation functions

Module 15: Data Visualization

  • Introduction to Matplotlib
  • Basic plotting with Matplotlib
  • Customizing plots (titles, labels, legends)

Module 16: Advanced Matplotlib

  • Subplots and multiple plots
  • Saving and exporting plots

Module 17: Introduction to Seaborn

  • Basic plots with Seaborn
  • Statistical plots

Module 18: Advanced Seaborn

  • Customizing Seaborn plots
  • Pairplots and heatmaps

Module 19: Plotly and Interactive Visualizations

  • Introduction to Plotly
  • Creating interactive plots

Module 20: Data Visualization Projects

  • Mini-project: Create a dashboard with interactive visualizations

Module 21: Applied Data Analysis

  • Introduction to Data Analysis Projects
  • Defining the problem
  • Collecting and understanding the data

Module 22: Exploratory Data Analysis (EDA)

  • Descriptive statistics
  • Visualizing distributions and relationships

Module 23: Data Preprocessing

  • Feature engineering
  • Data transformation and scaling

Module 24: Case Study

  • Guided project: Analyzing a real-world dataset (e.g., Titanic dataset, financial data)

Module 25: Capstone Project

  • Define your own project
  • Collect, clean, and analyze the data
  • Present your findings with visualization

Ratings & Reviews

No Review Yet
No Review Yet
£1,650 £2,250
-27%
Course Snapshot:
Course Duration 3 Months
Course Timing Mon-Fri (2 hours/day)
Training Type Virtual/Online
Skill Level Intermediate
Certificate Yes
Share Course
Page Link
Share On Social Media

Requirements

  • Basic programming knowledge (optional).
  • A computer with Python and Jupyter Notebook installed.
  • Interest in data analysis and data science.

Audience

  • Data analysts and professionals looking to enhance their Python skills.
  • Students and beginners in data science.
  • Business analysts and IT professionals.
  • Anyone interested in learning data analysis with Python.

Material Includes

  • Comprehensive course materials and sample datasets.
  • Guided exercises with NumPy, Pandas, and Matplotlib.
  • Interactive labs and mini-projects for applied learning.
  • Capstone project to build a complete data analysis workflow.
  • Downloadable resources and templates for data visualization.
At Core IT Trainings, we are passionate about empowering individuals to reach their full potential in the dynamic and ever-evolving field of IT.

Contact Us

Got Questions? Contact us on

Westlink House, 981 Great West Road, Brentford, England, TW8 9DN