Data Wrangling with Python

The Data Wrangling with Python course provides a comprehensive introduction to the fundamental concepts and techniques of data wrangling using Python. It trains participants to manipulate and transform data using Python programming. The course puts a strong focus on the Python libraries and tools that are commonly used for data-wrangling tasks. It also includes an introduction on data visualization with Python, which can be a useful tool to explore and analyze data. Participants get familiarized with NumPy, Pandas and Matplotlib. Throughout the course, individuals also get to work on exercises and projects to apply their knowledge.

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  • 24 Hours Training
  • Online / Classroom / Onsite
  • 28 Jul, 2024 / 28 Jul, 2024
  • Additional Program Dates
  • 100K+ Happy Students

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What is Data Wrangling with Python course?

The Data Wrangling with Python course is a comprehensive program designed to provide a deep understanding of the fundamental concepts and techniques of data wrangling using Python. The course discusses a range of topics, including data cleaning, data transformation, data manipulation, and data visualization using Python libraries such as NumPy, Pandas and Matplotlib. With a perfect combination of theoretical and practical sessions, this course provides an insight into the concepts and techniques of data wrangling using Python. By the end of the training programme, participants gain the skills and confidence needed to effectively clean, transform, and analyze data using Python, which is a valuable skillset across industries

Why is this course important?

Data wrangling is a critical step in the data analysis pipeline. By getting trained in Data Wrangling with Python, professionals develop the skills needed to effectively clean, transform, and analyze data using Python. Trained by industry experts, this course provides a valuable learning experience where participants can benefit from the trainer’s expertise and guidance. These skills are highly valued in many industries and fields, including data science, business analytics, finance and healthcare. They also help professionals with skills in Data Wrangling with Python stand out in the job market.

 

Why do companies hire professionals with skills in Data Wrangling with Python?

Effective data analysis is essential for making informed business decisions. By having professionals with skills in data wrangling with Python, companies can gain valuable insight into business performance, customer behaviour and other key metrics, allowing them to make data-driven decisions. These professionals can help companies to streamline data processing tasks and improve efficiency. They play a vital role in making companies better positioned to make strategic decisions and stay ahead of competition.

Industry Trends

The demand for data analysts is increasing in many industries and is expected to grow in the coming years. The Data Wrangling with Python course comes with a huge array of opportunities. Let us see how.

 

Market trends

The increasing availability of data, coupled with advancements in technology and data analysis tools, has led to a growing demand for professionals who can effectively collect, analyze and interpret data. According to the U.S. Bureau of Labor Statistics (BLS), employment of data analysts is projected to grow 25% from 2019 to 2029, much faster than the average for all occupations. This makes it a promising career for individuals with skills in data wrangling. 

Salary Trends

In addition to strong job growth, data analysts can also enjoy competitive salaries and opportunities for career advancement. Data analysts are typically offered impressive salary packages across the globe. According to data from GulfTalent, the average salary for a data analyst in Dubai is AED 101,800 per year. 

Demand & Opportunities

According to a report by the job site Bayt.com, data analysis was one of the most in-demand skills in the UAE in 2021 and the demand for data professionals is expected to grow in the days to come. This means a plethora of job opportunities await professionals with data-wrangling skills.

Some of the sought-after roles available in the Dubai region that seeks skills in data wrangling are: 

  1. Data Analysts – they are responsible for collecting, analyzing and interpreting large data sets
  2. Data Scientists – they use statistical and analytical methods to identify patterns and trends in data
  3. Business Analysts – they use data to identify business trends, monitor performance and make strategic decisions
  4. Machine Learning Engineers – they develop and implement algorithms that can learn from and make predictions on data
  5. Research Analysts – they use data to answer research questions and produce insights that can be used to inform decisions

Course Outcome

Successful completion of the Data Wrangling with Python course will help you to:

  • Comprehend the basic concepts and principles of data wrangling, including data cleaning, transformation, and manipulation
  • Learn how to use popular Python tools and libraries for data wrangling, such as Pandas, NumPy and Matplotlib
  • Understand how cleaning and transforming data sets are done using Python tools and techniques
  • Learn how to create visualizations of data using Python libraries such as Matplotlib 
  • Describe how to perform data analysis using Python tools and techniques

 

Course Module

  • There are no set prerequisites 
  • Advanced-Data Structures
  • Basic File Operations in Python
  • Subsetting, Filtering, and Grouping
  • Detecting Outliers and Handling Missing Values
  • Concatenating, Merging, and Joining
  • Useful Methods of Pandas
  • Advanced List Comprehension and the zip Function
  • Data Formatting
  • Refresher of RDBMS and SQL
  • Using an RDBMS (MySQL/PostgreSQL/SQLite)
  • Python for Data Wrangling
  • Lists, Sets, Strings, Tuples, and Dictionaries
  • NumPy Arrays
  • Pandas DataFrames
  • Statistics and Visualization with NumPy and Pandas
  • Using NumPy and Pandas to Calculate Basic Descriptive Statistics on the DataFrame
  • Reading Data from Different Text-Based (and Non-Text-Based) Sources
  • Introduction to BeautifulSoup4 and Web Page Parsing

 

  • Basics of Web Scraping and BeautifulSoup libraries
  • Reading Data from XML
  • Applying Your Knowledge to a Real-life Data Wrangling Task
  • An Extension to Data Wrangling

 

Program Dates

28 Jul
  • 02:00 PM
  • 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 Data Wrangling with Python course in Dubai, we also help professionals get equipped with the necessary skillset to forge a successful career.

What can you expect if you join our Data Wrangling with Python training course:

  • We look at real-world scenarios organizations face and formulate our Data Wrangling with Python 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 Data Wrangling with Python 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 Data Wrangling with the Python program
  • We also take a discrete approach to career guidance so that one can be successfully placed as a professional

Learners Experience

"Data wrangling used to be such a tedious and time-consuming task, but now I find it almost enjoyable! The techniques I learned in this course have made the process so much more efficient, and I'm excited to continue exploring the possibilities of Python data wrangling."

Daisy King

Research Analyst

"Before taking this course, I was hesitant to work with large datasets because I didn't know how to effectively manage them. But now, I feel much more confident in my ability to handle big data and extract insights from it."

Brian Evans

Data Engineer

"I'm so glad I decided to take this course. I was skeptical at first, but the instructors were excellent and the material was presented in a way that made it easy to understand. I feel like I've learned a valuable skill that will benefit me for years to come."

Polly Shane

Business Analyst

"This course has opened up a whole new world of data analysis for me. I used to struggle with cleaning and transforming data, but now I feel like I have a solid foundation that will allow me to tackle more advanced data science topics with ease."

Sulaimana Zazai

Data Analyst

"I feel much more confident in my ability to handle data now that I've completed this course. Python has become a powerful tool in my arsenal, and I can't wait to start applying what I've learned to my work."

Salman Umar

Data Scientist

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 Wrangling with Python

There is a strong demand for data-wrangling skills in today's job market. According to a report by the McKinsey Global Institute, the demand for data professionals in the United States alone is expected to exceed 2.7 million by 2020. This includes professionals with skills in data wrangling, data analysis and data science.
The scope for data professionals in Dubai is quite promising. Dubai has a rapidly developing economy and is quickly becoming a hub of innovation and technology. This has led to an increased demand for data professionals across all sectors.
Our Data Wrangling with Python course is suitable for anyone wanting to learn the essential concepts and techniques of data wrangling using Python. Anyone, irrespective of his or her background or experience level, can join this course.
The training sessions at Learners Point Academy are 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 and high-quality live and interactive online sessions at their convenience.
Data analysis skills are in demand across a range of industries, which means that there are a variety of jobs available. With the right skills and qualifications, data analysts can build a successful and fulfilling career in a growing and dynamic field. This makes a career in data analysis a great option.
Attending our Data Wrangling with Python training is an excellent way to acquire valuable skills that are in demand in today's job market. The several benefits of joining our Data Wrangling with Python course are:

1) Practical, hands-on learning experience
2) Experienced instructors
3) Comprehensive curriculum
4) Course completion certification
5) Career opportunities
Professionals with data wrangling skills are in high demand across a wide range of industries, and there are many opportunities available to them. They are:

1) Data Analyst
2) Data Scientist
3) Data Engineer
4) Research Analyst
5) Business Analyst
At Learners Point Academy, if a participant doesn’t wish to proceed with the training after registration for 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.
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