Mastery in Data Science

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Foundational Data Science Course
Foundational data science course in edmonton

Acquire practical problem-solving and strategic thinking skills utilizing data and analytics in one of the best data science courses for beginners. , tailored for busy working individuals who struggle to commit to lengthy programs. Individuals from any background are welcome to enroll in this course.

Participants will delve into key concepts such as data exploration, statistical analysis, and data visualization, gaining a solid understanding of the principles that underlie effective decision-making in various industries. The curriculum covers essential programming languages and tools commonly used in data science, fostering proficiency in manipulating and analyzing data sets.

  • Prerequisite : None
  • Duration - 2 Months (10-15 Hours / Week)
  • Type of Class : In Person / Online
  • Two Classes/Week with Flexible Scheduling (1.5 hr per class)
  • Mentorship - 1:1 with Mentor
  • Progress Check : 1:1 Code Review with Instructor
  • Guidance to Build Job Portfolio Profile
After completing this course

After finishing the Foundational Data Science Course, participants will have a solid grounding in Python, Statistics, Data Collection, Data Analysis, and Visualization that enables them to pursue more advanced topics in the realm of data science, setting the stage for a successful and rewarding journey in this dynamic and rapidly evolving field.

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Intermediate Data Science Course
Intermediate Data Science Course in Edmonton

The Intermediate Data Science Course is designed for individuals who have a foundational understanding of data science and are ready to advance their skills to a more sophisticated level. Throughout the program, participants will engage in hands-on projects and case studies, allowing them to apply advanced data science techniques to real-world scenarios.

The course covers topics such as predictive modeling, feature engineering, and optimization, providing a more nuanced understanding of the methodologies employed in data-driven decision-making. The course also includes a focus on interpreting and communicating complex analytical results effectively, ensuring participants can convey insights to diverse audiences.

  • Prerequisites : Basic Skill Test
  • Duration - 2 Months (10-15 Hours / Week)
  • Type of Classes : In Person / Online
  • Two Classes/Week with Flexible Scheduling (1.5 hr per class)
  • Mentorship - 1:1 with Mentor
  • Progress Check : 1:1 Code Review with Instructor
  • Guidance to Build Job Portfolio Profile
  • Internship of 80-100 Hours - Helps you to land your first Job.
After completing this course

After finishing the Intermediate Data Science Course, participants will have a solid grounding in Machine Learning, Modeling, Model Evaluation and Feature Engineering. Participants will have the skills and knowledge to tackle challenging data science projects and contribute meaningfully to the rapidly evolving field of data science.

Advanced Data Science Course
Advanced Data Science Course in Edmonton

The Advanced Data Science Course is an immersive and specialized program designed for seasoned data scientists aiming to delve into the realm of cutting-edge technologies. This course offers an in-depth exploration of advanced topics, with a particular focus on Natural Language Program (NLP), Neural Networks, perceptrons, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and practical case studies in deep learning.

Through a series of hands-on case studies, participants will apply these concepts to real-world scenarios, gaining practical experience in solving complex problems using deep learning methodologies.

  • Prerequisites : Intermediate Level Skill Test
  • Duration - 3 Months (10-15 Hours / Week)
  • Type of Class : In Person / Online
  • Two Classes/Week with Flexible Scheduling (1.5 hr per class)
  • Mentorship - 1:1 with Mentor
  • Progress Check : 1:1 Code Review with Instructor
  • Guidance to Build Job Portfolio Profile
  • Internship of 80-100 Hours - Helps you to land your first Job.
After completing this course

Throughout the Masters in Data Science course, ethical considerations and best practices in deep learning are integrated, ensuring participants develop a responsible and informed approach to deploying advanced data science techniques. By the end of the program, participants will be equipped with the knowledge and skills needed to leverage neural networks and deep learning effectively in a variety of applications.

FAQ
01 What makes this data science bootcamp relevant in the current context?

For three consecutive years, it has been ranked as one of the top fields in LinkedIn's Emerging Jobs Report, and the latest figures show that data scientist roles are growing at an annual rate of 37%. Companies across various industries, such as information technology, software, financial services, and higher education, are rapidly establishing in-house teams of data scientists and advanced analysts, but there is a shortage of skilled talent.

If you have a quantitative background or possess analytical skills, developing a specialized skill set in data science can open up numerous opportunities for high-paying careers in areas such as advanced analytics, business intelligence, and more.

02 What types of professional backgrounds do students in data science bootcamps typically have?

Data science bootcamps often attract a diverse group of students with different backgrounds and levels of experience. Students come from non-technical backgrounds but have developed an interest in data science and are looking to pivot their careers towards this field. If you have background in computer science, mathematics its great but this is not required. Anybody can learn Data Science.

03 Are there any prerequisites for Foundational Data Science Course?

No, There is no prerequisites for this course. This is designed for technical and non technical background. If you already have basic knowledge about the python, statistics and exploratory data anlaysis then you can join Intermediate data science course.

04 What is the job placement rate or support provided for securing employment after completing the data science course?

We are committed to helping our graduates transition into the workforce successfully. We offer comprehensive career services to assist students in their job search. This includes resume building, interview preparation and career counselling sessions.

We also guide from time to time how to build a strong network with professionals. Building a strong professional network is crucial for career growth.

Our curriculum includes real-world projects that allow students to build a strong portfolio showcasing their practical skills and problem-solving abilities. This portfolio can be a powerful tool during job interviews.

To prepare our students for the job application process, we conduct mock interviews. This helps them gain confidence and refine their communication skills when discussing their technical expertise and project experiences.
While we do not guarantee specific job placements, our goal is to equip our graduates with the skills, knowledge, and support needed to pursue fulfilling careers in data science. We continuously iterate and improve our program based on industry feedback to ensure our students are well-prepared for the demands of the job market

05 What is the curriculum like, and what topics will be covered in the data science bootcamp?

The curriculum outlines the topics covered in each course, detailing the skills you will acquire upon completion. For further information or if you have any questions, please schedule a call.

06 How much hands-on experience and real-world projects are included in the course?

The bootcamp is designed to provide a substantial amount of hands-on experience through real-world projects. Our curriculum emphasizes practical application, allowing students to engage with industry-relevant challenges and build a solid foundation of skills. Throughout the program, you'll actively work on projects that simulate authentic scenarios, ensuring that you gain valuable experience applicable to the field of data science. This hands-on approach is integral to our teaching methodology, fostering a deeper understanding of concepts and enhancing your readiness for real-world applications in the field.