Data Analysis with Python

40 hours of intensive training program

5 revised course modules based on Python

Gain proficiency in Python data analysis libraries

Hassle-free pay processes with instalments

Online & classroom learning options

4.9/5

3265 Enrolled

Overview

What we’re going to teach you

Create visualisations with Matplotlib & Seaborn
Perform statistical analysis with SciPy
Explore data cleaning and preprocessing techniques
Learn data aggregation and summarisation methods
Understand data integration and transformation processes
Develop skills in exploratory data analysis (EDA)
Work on real-world data projects and datasets

Learning objectives

Upon finishing the training, you will master

Attain an understanding of the Python programming language and its capabilities for working with data

Learn how to use popular Python libraries such as NumPy, Pandas and Matplotlib for data manipulation, analysis and visualisation

Understand basic statistical concepts and how they can be applied to data analysis using Python

Know how to use Python to perform data exploration and visualisation, including how to create various types of plots and charts

Discover about the latest libraries, techniques and trends in data analysis

Comprehend how to use Python to extract insight from data

Ready to get started?

Overall ratings by our students

Upcoming sessions

Our Trainers

We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts in their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction & ethics.

Related courses

Curriculum

No definite set of prerequisites required

The Problem
Understanding the Data
Python Packages for Data Science
Importing and Exporting Data in Python
Getting Started Analyzing Data in Python
Accessing Databases with Python

Preprocessing Data in Python
Dealing with Missing Values in Python
Data Formatting in Python
Data Normalization in Python
Binning in Python
Turning categorical variables into quantitative variables in Python

Exploratory Data Analysis
Descriptive Statistics
GroupBy in Python
Correlation
Correlation - Statistics
Association between two categorical variables: Chi-Square

Model Development
Linear Regression and Multiple Linear Regression
Model Evaluation using Visualization
Polynomial Regression and Pipelines
Measures for In-Sample Evaluation
Prediction and Decision Making

Model Evaluation and Refinement
Overfitting, Underfitting and Model Selection
Ridge Regression
Grid Search

Frequently asked questions

As the amount of data being generated and collected continues to grow, there is a high demand for professionals who can analyze and make sense of it. This has led to an increasing number of job opportunities for data analysts across industries.

Python is one of the most popular programming languages and has a large and active community of users. Data analysis is a multidisciplinary field that requires one to know how to use different libraries, tools and technologies. Knowledge of Python allows a data analyst to work with a range of data analysis libraries and tools, making it easier to perform various data analysis tasks

The Dubai government has been actively promoting digital transformation and data-driven decision-making across all sectors, which has led to an increase in the number of companies and government entities seeking to hire data professionals. Several industries in Dubai are currently seeking data analysts, including, but not limited to finance, retail, healthcare, technology and marketing.

The Python for Data Analysis course offers you hands-on experience working with Python, which is a popular and versatile programming language used for data analysis. By attending this course, you can learn how to use Python to perform various data analysis tasks, including data import, cleaning and visualization. This can provide you the skills required to stand out in a competitive job market.

This Python for Data Analysis course is ideal for anyone interested in data analysis and who wants to strengthen his or her understanding of the basics of Python for data analysis.

The training at Learners Point Academy is interactive, immersive and an intensive hands-on programme. We offer 3 modes of delivery and participants can choose from instructor-led classroom-based group coaching, one-on-one training sessions or high-quality live and interactive online sessions as per their convenience.

At Learners Point Academy, if a participant doesn’t wish to proceed with the training after registration due to any reason, he or she is entitled to a 100% refund. However, the refund will be issued only if we are notified in writing within 2 days from the date of registration. The refund will be processed within 4 weeks from the date of withdrawal.