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Data Science Projects with Python

The Data Science Projects with Python is a practical course designed to give participants an understanding of the data science process and the ability to apply Python programming to solve real-world problems. The course discusses industry-standard data analysis and ML tools in Python that can train participants to critically examine datasets. The training includes a combination of lectures, hands-on exercises and project work, and is provided by experienced data science instructors. Participants will get real-time experience working on data science projects and will be taught to work with large datasets, clean and preprocess data, visualize data, and build machine learning models. The Data Science Projects with Python training is an excellent stepping stone for individuals looking to enter the field of data science or advance their careers in this field.

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Accredited By

  • 24 Hours Training
  • Online / Classroom / Onsite
  • 23 Jul, 2023 / 23 Aug, 2023
  • Additional Program Dates
  • 100K+ Happy Students

(600+ Google Reviews)

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What is this Data Science Projects with Python course?

The Data Science Projects with Python course helps participants develop practical skills in data science and a strong foundation in solving real-world problems using Python. Participants attending this course will be taken through the data science process including data acquisition, data cleaning and preprocessing, feature engineering and model selection and evaluation with ample hands-on sessions. ​​Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn and TensorFlow are discussed in detail to teach participants to analyze and model data using them. Trained by industry experts with a combination of lectures, hands-on exercises and project work, this programme gives participants the opportunity to work on several real-world projects that will enable them to apply what they have learned in a practical setting. 

Why is this course important?

The Data Science Projects with Python training provide a practical approach to learning data science concepts. The skills attained during this training are practical, versatile and highly sought-after which can open doors to many exciting career opportunities. This will give participants valuable experience and expertise in analyzing and interpreting data, solving real-world problems and giving them an edge in the job market.

Why do companies hire professionals with practical skills in Data Science Projects with Python?

Today, ​​companies are increasingly using data-driven decision-making to gain insights into their businesses. By hiring professionals with practical skills in data science, companies can leverage data to make informed decisions, improve efficiency, and drive business growth. These professionals, with their skillset, play a crucial role in helping companies gain a competitive edge by analyzing data to identify trends, opportunities and risks. They enable companies to drive innovation and stay ahead of the curve.

 

Industry Trends

Companies today are at the forefront of data science innovation and this has brought a huge demand for data scientists who can develop cutting-edge products and services. This Data Science Projects with Python course helps professionals develop the necessary skills that can help them secure some of the most exciting opportunities across industries. 

Market trends

Data science is one of the fastest-growing fields, and job growth for data science professionals is expected to remain strong. According to the U.S. Bureau of Labor Statistics (BLS), employment of computer and information research scientists (which includes data scientists) is projected to grow 15% from 2020 to 2030. This results in a huge demand for data science professionals across a wide range of industries.  

Salary Trends

The high demand for the skills of data science professionals in the job market is reflected in their salaries. Data science professionals are among the highest-paid in the technology industry. According to various job market and salary analysis websites, the average salary for a data scientist in Dubai is around AED 240,000 to AED 300,000 per year. 

Demand & Opportunities

The demand for data science professionals is everywhere. Emerging technologies such as AI and ML are creating new opportunities for data science professionals. The Data Science Projects with Python course helps professionals build practical and highly sought-after skills which can help them attract exciting job opportunities. 

Here are some of the sought-after data science roles available in the Dubai region.

  1. Data Scientists – they are responsible for collecting, analyzing and interpreting large and complex datasets
  2. Data Analysts – they are responsible for collecting, organizing and analyzing data to help businesses make informed decisions
  3. Machine Learning Engineers – they design, build and maintain machine learning systems that can analyze large volumes of data
  4. Data Engineers – they are responsible for building and maintaining the infrastructure and tools needed to store and process large datasets
  5. Data Architects – they design and implement the systems and infrastructure needed to support data storage, processing and analysis

Course Outcome

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

  • Comprehend the practical application of Python tools for data science projects
  • Describe Python libraries like Pandas and Matplotlib to explore and visualize data
  • Understand the methods involved in extracting and transforming features from raw data to create new variables 
  • Get introduced to Scikit and learn how to use it to build and evaluate classification and regression models
  • Know how to use Scikit-learn to perform clustering and dimensionality reduction
  • Understand decision trees and their significance in data exploration

Course Module

  • There are no prerequisites required 
  • Introduction
  • Model Performance Metrics for Binary Classification
  • Activity 2- Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve
  • Introduction
  • Estimating the Coefficients and Intercepts of Logistic Regression
  • Cross Validation- Choosing the Regularization Parameter and Other Hyperparameters
  • Activity 4- Cross-Validation and Feature Engineering with the Case Study Data
  • Introduction
  • Review of Modeling Results
  • Dealing with Missing Data- Imputation Strategies
  • Activity 6- Deriving Financial Insights
  • Final Thoughts on Delivering the Predictive Model to the Client
  • Python and the Anaconda Package Management System
  • Different Types of Data Science Problems
  • Loading the Case Study Data with Jupyter and pandas
  • Data Quality Assurance and Exploration
  • Exploring the Financial History Features in the Dataset
  • Activity 1- Exploring Remaining Financial Features in the Dataset

 

  • Introduction
  • Examining the Relationships between Features and the Response
  • Univariate Feature Selection- What It Does and Doesn't Do
  • Building Cloud-Native Applications
  • Activity 3- Fitting a Logistic Regression Model and Directly Using the Coefficients
  • Introduction
  • Decision trees
  • Random Forests- Ensembles of Decision Trees
  • Activity 5- Cross-Validation Grid Search with Random Forest

Program Dates

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 Data Science courses in Dubai, we also help professionals get equipped with the latest knowledge and skillset that can help them forge a successful future. 

What can you expect if you join our Data Science Projects with Python course:

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

 

Learners Experience

"The projects in this course were a great way to learn and practice data science skills using Python. I appreciated the emphasis on real-world datasets and problems, and the instructor provided clear instructions and guidance throughout the course. The feedback on my projects was helpful and encouraging. Overall, a great learning experience!"

Nabi Muraq

Data Engineer

"This course was exactly what I needed to take my data science skills to the next level. The projects were challenging but manageable, and I appreciated the focus on best practices and data ethics. The instructor provided detailed feedback on my work and was always available to answer questions. I'm excited to apply my new skills to real-world data science problems."

Paulie Finn

Business Intelligence Analyst

"I've taken a few data science courses before, but this one was the best by far. The projects were well-designed and covered a wide range of topics, from data cleaning and visualization to machine learning and predictive modeling. The instructor was knowledgeable and engaging, and I appreciated the focus on practical applications of data science. I feel much more confident in my ability to tackle data science projects now."

Jason Denver

Data Analyst

"The projects in this course were challenging but engaging. I appreciated the focus on real-world problems and datasets, and the hands-on approach helped me develop my Python and data science skills. The instructor was knowledgeable and provided excellent feedback on my work. Highly recommend this course for anyone looking to get practical experience with data science using Python."

Murani Ul Haque

Machine Learning Engineer

"This course was fantastic! I had some basic knowledge of Python and data science, but this course gave me the opportunity to put my skills into practice and work on real-world data science projects. The instructor provided detailed feedback on my projects and was always available to answer questions. I feel much more confident in my ability to analyze and visualize data using Python now."

Dolly Jensen

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 Science Projects with Python

With the explosion of data in recent years, companies are seeking skilled professionals who can help them analyze and interpret data for the growth of businesses. As a career path which offers a combination of high growth, good salary, a variety of job roles and opportunity to make an impact, data science is an attractive choice for many people today.
Today, there is a growing demand for data science professionals across various industries. Building practical skills in data science can help you attract more opportunities by making you a versatile, experienced and valuable candidate with relevant skills and knowledge in a growing field.
Our Data Science Projects with Python course provides participants with the foundational knowledge and practical skills required to succeed in the field of data science. It is ideal for a wide range of individuals and professionals like:

1) Aspiring data scientists
2) IT professionals
3) Researchers and academics
4) Anyone interested in data science
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.
Dubai has a rapidly growing technology sector, with several multinational companies setting up their regional headquarters in the city. This has led to an increasing demand for data science professionals who can help these companies leverage data to drive growth and make informed business decisions.
Attending the Data Science Projects with Python course can provide you with a wide range of benefits, including:

1) Hands-on learning
2) Industry-relevant curriculum
3) Industry expert trainers
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.
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