Data Analysis with Python

Python for Data Analysis is a course that teaches individuals how to use the Python programming language for data analysis. The course discusses the use of Python libraries and frameworks such as Pandas, NumPy and Matplotlib for data manipulation, cleaning and visualization. In this programme, participants can learn how to use Python to work with structured and unstructured data, and also understand how to apply statistical and Machine Learning techniques to data. The course is intended for individuals with little or no programming experience, as well as for those who are already familiar with Python but want to advance their knowledge about using it for data analysis.

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  • 40 Hours Training
  • Online / Classroom / Onsite
  • 3 Mar, 2024 / 24 Mar, 2024
  • Additional Program Dates
  • 100K+ Happy Students

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What is the Python for Data Analysis course?

The Python for Data Analysis course is designed to provide individuals with the skills and knowledge needed to use Python for data analysis. The course familiarizes participants with the Python programming language and its syntax and data analysis libraries such as Pandas, NumPy, Matplotlib and others used for data analysis and manipulation. Throughout the course, students will have the opportunity to work with real-world datasets, apply the techniques they have learned and gain hands-on experience with the libraries and frameworks used in data analysis. The course may also provide some best practices or guidelines on how to approach data analysis problems and how to use Python libraries and frameworks effectively.

Why is this course important?

Data analysis skills are in great demand, and Python is one of the most popular programming languages for data analysis. Getting trained in Python for Data Analysis equips professionals with the skills and knowledge needed to use Python to perform a wide range of tasks, enabling them to be in a good position to take advantage of the growing demand for data analysis skills. With employers looking for individuals with experience in data analysis using Python, this course can open up doors for career growth in various fields.

Why do companies hire professionals with Python for Data Analysis certification?

The Python for Data Analysis certification demonstrates that a professional has a certain level of knowledge and skill in Python for data analysis, which can give employers confidence in the individual’s ability to perform data analysis tasks. Their ability to understand and interpret data, identify patterns and trends and provide insight that can drive business decisions, make them valuable assets. They can perform large amounts of data manipulation and analysis quickly and efficiently, which can help a company save time and resources.

Industry Trends


The data analysis field is becoming more diverse and in demand, and it will continue to grow as companies seek to extract insight from data to make better business decisions. Python for Data Analysis certification comes with its own set of merits and opportunities. Let us see how.

Market trends

According to the U.S. Bureau of Labour Statistics, job prospects for data analysts is projected to be quite strong. Employment of data analysts are projected to grow by 11% from 2019 to 2029, which is much faster than the average for all occupations. This makes data analysis a promising field with a strong outlook for job growth.

Salary Trends

The growing importance of data-driven decision making is driving demand for data analysts in a wide range of industries. The field of data analysis is evolving and becoming highly competitive, and this has a direct impact on the salaries of data analysis professionals. According to salary surveys conducted by Glassdoor, PayScale, and indeed, the average salary of a data analyst in Dubai is around AED 12,000 to 15,000 per month.

Demand & Opportunities


Data analysis is a growing field with a wide range of job opportunities ranging from big data, machine learning, cloud computing, business intelligence and data visualization. The Python for Data Analysis certification gives an assurance of enhancing the necessary competence in related roles, thus making these opportunities easier to avail.

Here are some of the roles that benefit from Python for Data Analysis certification in Dubai (as observed in popular Dubai job portals):

  1. Data Analysts — they collect, process and analyze large sets of data to identify patterns, trends and insight that can inform business decisions
  2. Business Intelligence Analysts — they utilize various data analysis techniques and tools to support decision-making within an organization
  3. Data Scientists — they use statistical methods and machine learning algorithms to analyze complex data sets and build predictive models
  4. Data Engineers — they design and implement the infrastructure for data and data-driven applications, as well as define and maintain the data pipeline
  5. Big Data Engineers — they design and build the infrastructure and pipelines necessary to collect, store and process large data sets

Course Outcome


Successful completion of the Python for Data Analysis course will help you to:

  • Gain a comprehensive 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 visualization
  • Understand basic statistical concepts and how they can be applied to data analysis using Python
  • Learn how to use Python to perform data exploration and visualization, including how to create various types of plots and charts
  • Learn the latest libraries, techniques and trends in data analysis
  • Understand how to use Python to extract insight from data and communicate their findings to others in a compelling way

Course Module


  • No definite set of prerequisites required
  • 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
  • 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
  • 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
  • Exploratory Data Analysis
  • Descriptive Statistics
  • GroupBy in Python
  • Correlation
  • Correlation - Statistics
  • Association between two categorical variables: Chi-Square
  • Model Evaluation and Refinement
  • Overfitting, Underfitting and Model Selection
  • Ridge Regression
  • Grid Search

Program Dates


3 Mar
  • 09:30 AM
  • Sun
  • Classroom
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16 Mar
  • 09:00 AM
  • Sat
  • Online Live
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17 Mar
  • 09:00 AM
  • Sun
  • Classroom
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24 Mar
  • 11:00 AM
  • Sun
  • Classroom
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Expert Instructors & Teaching Methods


 

 

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.

Our Trainers

Why Count on Learners Point?


Learners Point Academy is not only the leading provider of the Python for Data Analysis course in Dubai, we also help professionals get equipped with the necessary skillset to forge a successful career.

What can you expect by joining our Python for Data Analysis training programme:

  • We look at real-world scenarios organizations face and formulate our Python for Data Analysis training course evaluating practical requirements
  • Apart from theoretical knowledge, we also focus on practical case studies to give you a reality check and insight into what exactly will be asked of you while delivering in a demanding role
  • Our bespoke Python for Data Analysis course also equips you with hands-on experience by offering assignments related to the actual work environment
  • Apart from organizing group sessions, we also offer a guided learning experience to enhance the quality of our Python for Data Analysis training programme
  • We also take a discrete approach to career guidance so that one can be successfully placed as a professional

Learners Experience


"The Data Analysis with Python course was a great introduction to data analysis techniques using Python. The instructor was engaging, and the course material was presented in a way that was easy to understand. The labs were especially helpful in providing real-world experience with data analysis using Python libraries."

Parizada Famana

Market Research Analyst

"I would highly recommend the Data Analysis with Python course to anyone interested in learning about data analysis using Python. The course covered a wide range of topics, including statistical analysis and machine learning, and the labs were a great way to practice what I learned."

James Pope

Financial Analyst

"The Data Analysis with Python course was a great way to learn about Python libraries for data analysis, such as Pandas and Matplotlib. The labs were a great way to apply the concepts I learned, and the instructor was very helpful in answering any questions I had."

Zahreen Mehreen

Data Scientist

"I found the Data Analysis with Python course to be very informative and well-structured. The instructor was knowledgeable and provided clear explanations of the concepts covered in the course. The labs were especially helpful in giving me hands-on experience with data analysis using Python."

Paul Ballance

Business Analyst

"The Data Analysis with Python course was a great way to learn about data analysis techniques using Python. The course covered everything from data cleaning to data visualization, and the labs were very helpful in solidifying my understanding of the concepts. I would highly recommend this course to anyone interested in data analysis."

Cheryl Hoggards

Data Analyst

Our Graduates


Our graduates are from big companies, small, companies, they are founders, career changers and life long learners. Join us and meet your tribe!

FAQs on Data Analysis with Python

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.
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.
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.
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.
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 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.
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.