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Learning Format

Online Instructor-Led

Duration

21 - 26 Weeks

Salary

CA$85K - CA$130K

Avg. Hiring Time

6 Weeks

Key Program Features

No Prior Experience

Land a job in the tech industry with no prior experience

Real-World Experience

Gain industry insights with practical skills to efficiently tackle day-to-day challenges

Mentorship

Receive comprehensive mentorship from tech experts for a 6-figure salary

Enroll Now, Pay Later

Enroll in our program with enroll now, pay later option with 0% finance

Explore Fortray's Data Science Program in Canada

Gain in-demand Data Science, Machine Learning, and AI skills and unlock career advancement opportunities in the Canadian tech industry.

Start Your Career in Data Science with Guaranteed Job & Career Growth

Fortray’s Career Change Data Science Job Guarantee Bootcamp delivers comprehensive training from foundational statistics and Python programming to advanced machine learning, deep learning, and AI applications. Through flexible learning formats and expert-led live online sessions, you’ll gain the practical skills required for entry-level Data Science roles in Canada.

Our dedicated recruitment specialists support your job placement journey, backed by a Job Guarantee or your money back. Start your career earning up to CA$70K in Canadian Data Science roles, and through career-focused mentorship and advanced AI training, progress toward a six-figure Data Scientist salary. Enroll Now!

Path to Data Science Professional in Canada
  • Upskill as a Data Analyst or Junior Data Scientist
  • Gain hands-on experience in Python, SQL, data visualization & statistical modeling
  • Recruitment support with guaranteed Canadian job placement
  • Launch your career in Canadian Data Science and analytics
  • Advanced training & mentorship to become a Data Scientist
Book Your Seat
fortray-global-services-data-scientist-overview

Why Choose a Career as a Data Scientist in Canada? The Canadian Data Science and AI market continues to grow rapidly, offering strong opportunities and long-term career stability.

Industry Hiring Demand

Global Job Demand

90% Rise

Expected in the Decade

37% Growth

Unfilled Positions

44% Jobs

Average salary for

Data Scientist in Canada

CA$85K

The Program is designed for Individuals
  • Age 18 years or above
  • Diploma/Degree in IT OR 1+ year IT Experience.
  • Basic computer literacy
  • A windows based machine with stable internet
IT Support Technician Prerequisite - Fortray

CA$85K+

Average starting salary
Types of Entry-Level Roles
Junior Data Analyst
Data Science Analyst
Big Data Analyst
Business IT Analyst

CA$110K+

With 3-5 years experience
Types of Mid-Senior Roles
Lead Data Analyst
Data Scientist
Big Data Engineer
Business Analyst Team Lead

CA$130K+

With +5 years experience
Types of Senior Roles
Data Architect
Head of Data Science
Head of Data Analyst
Business Change Director
IT Support Technician Live Instructor-Led - Fortray
Live Instructor-Led
  • Skill Building
  • Project Based Learning
  • Instructor-Led Training
IT Support Technician 24/7 Lab Access - Fortray
24/7 Lab
  • Live With Real Equipment
  • Hands-on Learning
  • Round the Clock Lab Access
IT Support Technician Career Opportunities - Fortray
Recruitment
  • CV and LinkedIn Refinement
  • Recruitment Workshops
  • Tech & HR Mock Interviews
IT Support Technician Job Placement - Fortray
Career Acceleration
  • Mentorship After Job
  • Get Six Figure Salary
  • Career Advancement

Data Science Program in Canada – Career and Growth Path

Discover structured career development pathways that take you from entry-level Data Analyst roles to Senior Data Scientist, Machine Learning Engineer, or AI leadership positions.

21 - 26 Weeks (Morning or Afternoon)

Completion times are approximations based on the progress of our current students and graduates
WEEKDAYS (MON - FRI)
Self-study
AT YOUR OWN PACE

Watch video-recorded lectures at a time that suits you, before putting what you've learned into practice with challenges.

Live sessions
Morning or Afternoon

Join Live sessions either in the morning or afternoon, whichever suits you and ask all your questions to our teaching staff.

WEEKEND (SAT/SUN)
Live sessions
Morning or Afternoon
Self-study
STUDY AT YOUR OWN PACE

SQL Certification Course ILT

This module builds strong database querying skills required for data science and analytics roles. Learners will understand how to work with structured databases, retrieve data efficiently, and perform transformations to support reporting, analytics, and machine learning workflows in real-world environments. Duration: 27.4 hours Mode: Instructor-Led + Self-Paced (3.4 hours)

  • SQL fundamentals and database concepts
  • Writing complex queries and joins
  • Data filtering, grouping, and aggregation
  • Extracting insights from relational databases
SQL Database Management Data Querying Data Extraction

Python Refresher with AI ILT

This module refreshes core Python programming skills with a focus on data science and AI applications. It helps learners strengthen coding fundamentals, work with data libraries, and efficiently prepare datasets for machine learning and artificial intelligence tasks. Duration: 12 hours Mode: Instructor-Led (12 hours)

  • Python fundamentals and syntax
  • Working with NumPy and Pandas
  • Data cleaning and preparation
  • Introduction to AI-driven coding practices
Python Pandas NumPy Data Processing

Advanced Statistics SPL

This module provides a strong foundation in statistical concepts required for data science and machine learning. Learners will explore probability, hypothesis testing, and statistical analysis techniques used to interpret data and make informed decisions. Duration: 5 hours Mode: Self-Paced (5 hours)

  • Probability and distributions
  • Hypothesis testing techniques
  • Statistical inference methods
  • Data interpretation and decision-making
Statistics Probability Data Analysis Statistical Modelling

Applied Data Science with Python ILT

This module focuses on applying Python-based data science techniques to analyse, visualise, and prepare data for advanced modelling. Learners will work with real-world datasets to perform exploratory data analysis and derive meaningful insights for business decision-making. Duration: 50 hours Mode: Instructor-Led + Self-Paced (6 hours)

  • Data analysis and exploration
  • Data visualisation techniques
  • Feature engineering basics
  • Handling real-world datasets
Python Data Science Pandas Matplotlib Data Visualisation

Machine Learning using Python ILT

This module introduces core machine learning concepts and techniques using Python. Learners will build and evaluate predictive models, understand algorithm selection, and apply machine learning to solve real-world problems across industries. Duration: 50 hours Mode: Instructor-Led + Self-Paced (6 hours)

  • Supervised and unsupervised learning
  • Model building and evaluation
  • Classification and regression algorithms
  • Model optimisation techniques
Machine Learning Scikit-learn Model Building Predictive Analytics

Deep Neural Networks (TensorFlow, Keras, PyTorch) ILT

This module provides in-depth knowledge of deep learning and neural network architectures. Learners will use industry-standard frameworks such as TensorFlow, Keras, and PyTorch to build and train models for complex tasks like image recognition and predictive analytics. Duration: 39 hours Mode: Instructor-Led (39 hours)

  • Neural network fundamentals
  • Deep learning architectures
  • Model training using frameworks
  • Advanced AI applications
TensorFlow Keras PyTorch Deep Learning Neural Networks

Microsoft Power BI with AI-Assistance ILT

This module teaches learners how to use Power BI along with AI-driven features to create interactive dashboards and generate insights. It focuses on business intelligence, data storytelling, and using AI capabilities to enhance analytical outcomes. Duration: 23.4 hours Mode: Instructor-Led + Self-Paced (2.4 hours)

  • Power BI dashboards and reports
  • Data modelling and transformations
  • AI-powered insights in Power BI
  • Data storytelling techniques
Power BI Data Visualisation DAX Business Intelligence

Data Science Capstone ILT

This capstone module allows learners to apply all acquired data science and machine learning skills in a real-world project. It focuses on practical implementation, data analysis, model development, and presenting insights to simulate real business scenarios. Duration: 8 hours Mode: Instructor-Led (8 hours)

  • End-to-end data science project
  • Data analysis and modelling
  • Business insights generation
  • Presentation of results
Data Science Project Machine Learning Data Analysis Reporting

Applied MLOps ILT

This module introduces MLOps practices to operationalise machine learning models in production environments. Learners will understand deployment, monitoring, and lifecycle management of machine learning solutions in scalable systems. Duration: 8 hours Mode: Instructor-Led (8 hours)

  • MLOps fundamentals
  • Model deployment strategies
  • Monitoring and maintenance
  • CI/CD for machine learning
MLOps Model Deployment CI/CD ML Lifecycle

End-to-End MLOps with Azure Machine Learning SPL

This module provides hands-on understanding of implementing MLOps workflows using Azure Machine Learning. Learners will explore model training, deployment, and monitoring in a cloud-based environment, enabling scalable AI solutions in enterprise scenarios. Duration: Self-paced Mode: Self-Paced

  • Azure ML workflows
  • Model deployment in cloud
  • Monitoring and automation
  • End-to-end ML lifecycle
Azure Machine Learning Cloud MLOps Model Deployment Automation
Project 1
Sales Analysis

Use Python to analyze a clothing company’s fourth-quarter sales data across Australian states, identifying trends to help the company make data-driven decisions for the coming year. This will provide insights into regional performance and customer preferences.

Project 2
Employee Performance Analysis

Develop ML models to understand various factors influencing employee turnover. Employ clustering techniques, SMOTE for handling imbalanced data, and K-fold validation to assess model performance. Use this model to analyze the results to recommend effective and actionable retention strategies.

Project 3
Classification of Songs

Conduct exploratory data analysis and cluster analysis to create personalized song lists and design an efficient recommendation system. Through this model, you can use advanced techniques to understand user preferences and enhance the overall listening experience.

Project 4
Interactive Sales Dashboard

Design and develop an interactive sales dashboard in Tableau for an apparel OEM's sales department. This dashboard will visualize key performance metrics, track sales trends, and provide actionable insights to support data-driven decision-making and strategic planning.

Project 5
Crime Analysis with Tableau Dashboard

Create a Tableau dashboard to keep the police department and city officials updated on crime event statistics. This dashboard visualizes crime trends, highlights hotspots, and provides detailed analytics for informed decision-making and effective resource allocation.

Project 6
Marketing Strategies with Exploratory Data Analysis

Use this model to conduct exploratory data analysis and hypothesis testing to assist the marketing department in gaining insights into the drivers of customer acquisition. Use these findings to formulate a refined strategy that enhances customer acquisition efforts and strengthens market positioning.

Recruitment and Job Placement

Our recruitment and job placement services help candidates achieve their career goals. We offer a holistic approach, including personal branding and interview preparation, tailored to each candidate's needs. Our support ensures you stand out and secure your desired role in today's competitive job market.

Career and Job Placement - Fortray
Personal Branding

Enhance your brand with a resume revamp, LinkedIn optimization, and portfolio development.

1:1 Coaching

Master technical and HR questions, get tailored advice and refine job search in 1:1 session.

Hiring Partners

Connect with 1,000+ hiring partners through our extensive network & exclusive partnerships.

Get Hired

Fast track your career ambitions and growth to successfully Get Hired within 16 weeks span.

Mentorship Session

To ensure your career success, we provide a post-placement mentorship session. You'll be paired with an industry expert who will offer tailored guidance, support, and insights to help you excel in your new role.

How It Works

After securing a job through our Program, you qualify for a mentorship session. You'll be paired with a mentor aligned with your career goals to guide you in your new role, address challenges, and offer insights to help you quickly advance your salary.

Benefits of Mentorship

  • Gain valuable insights
  • Personalised guidance
  • Develop winning strategies
  • Succeed in your role
  • Accelerate career growth
  • 5 years career roadmap

Who Can Participate

Our mentorship session is for candidates who have completed Fortray's Job Guarantee or Money Back Program. Whether you're a recent graduate or a seasoned professional, you'll receive invaluable support to excel in your new role.

Master in Generative AI (During Recruitment) ILT

This module explores advanced generative AI concepts, including large language models and real-world enterprise use cases. Learners will gain insight into how generative AI is shaping modern applications and how to leverage it in business environments. Duration: 6 hours Mode: Instructor-Led (6 hours)

  • Advanced generative AI concepts
  • Real-world AI applications
  • Prompt engineering techniques
  • AI implementation strategies
Generative AI LLMs Prompt Engineering AI Applications

Machine Learning for AI in Microsoft Fabric SPL

This specialised module introduces machine learning capabilities within Microsoft Fabric. It focuses on integrating data engineering, analytics, and AI workflows into a unified platform to build scalable and efficient enterprise-grade AI solutions. Duration: Self-paced Mode: Self-paced

  • Microsoft Fabric overview
  • ML integration with data platforms
  • Data pipelines and analytics
  • Enterprise AI workflows
Microsoft Fabric Machine Learning Data Engineering AI Workflows
03. Data Scientist

Pass Exam

Tableau

Get Experience

12 Months Plus

Career Goal

Data Scientist
03. Data Scientist

Pass Exam

Tableau

Get Experience

12 Months Plus

Career Goal

Data Scientist

Job Responsibilities | Data Scientist

(Entry Level)

Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability.

Job Responsibilities :

  • Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions.
  • Support predictive modelling : Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes.
  • Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company.
  • Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with business goals.

Skills & Experience:

  • Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields.
  • Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling.
  • Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting.

Job Responsibilities | Data Scientist

(Advanced Level)

Certainly! In this role, you’ll pioneer AI and Data Science, partnering with skilled professionals to redefine B2B interactions. Our agile environment encourages growth through challenging projects, robust benefits, and career development. Deliver impactful AI features for global enterprises

Job Responsibilities :

  • Designing, developing, and implementing machine learning models to solve complex business problems for large enterprises.
  • Collaborating with data scientists to explore, prepare, and engineer high-quality datasets for model training.
  • Developing and maintaining robust AI pipelines for efficient model training, deployment, and monitoring.
  • Analyzing model performance and iterating on algorithms to achieve optimal results.

Skills :

  • 3+ years of experience working as an ML Engineer or Data Scientist
  • Significant Python programming experience in relevant open source toolkits like scikit-learn, PyTorch etc
  • Experience developing software that utilizes Large Language Models
  • Experience creating and using advanced machine learning algorithms and statistics: regression, clustering, decision trees, neural networks, etc.

9/10 of our learners achieve their learning objectives after successful completionProcess Advisors

fortray global services

Hear it from our Alumni

fortray global services Success Stories
The course provided valuable hands-on experience in data analysis tools and techniques. It enhanced my ability to extract meaningful insights from data.
Arsha Amir Khan
Arsha Amir Khan

Data Analyst

The course strengthened my knowledge of big data tools and processing techniques. It helped me understand how to handle and analyze large-scale data efficiently.
Kavya Rana
Kavya Rana

Big Data Developer

The training helped me build strong analytical skills and understand how to work with real-world data science problems effectively.
Sai Praneeth Reddy
Sai Praneeth Reddy

Data Scientist

This course helped me connect data analysis with customer service insights. I gained skills to analyze customer data and improve service quality.
Krishan Lukhra
Krishan Lukhra

Customer Service & Data Analyst

This course enhanced my data analysis skills and understanding of data-driven decision-making. I gained practical experience in analyzing and interpreting datasets.
Lucky Sokwe
Lucky Sokwe

Data Analyst

I gained practical exposure to real-world data science workflows and improved my ability to turn raw data into meaningful insights effectively.
Idris I
Idris I

Data Scientist

I developed a strong foundation in data analysis concepts and practical applications. The course improved my confidence in data visualization and reporting.
Marco Baffetti
Marco Baffetti

Data Analyst

I gained practical knowledge of data analysis methodologies and real-world use cases. The course strengthened my analytical thinking and problem-solving skills.
Obinna Nwokolo
Obinna Nwokolo

Data Analyst

Get Hired at Top Canadian Companies

Hundreds of thousands of individuals, small businesses, and major Canadian companies continue to trust Fortray to launch and grow their tech careers.

6 weeks
on average to find a job
98%
employment rate
1500+
hiring partners

Why Choose Fortray?

You put in the hard work, and we are ready to bet on you.

  • Live online sessions with 8x more interaction than self-paced

  • Taught by IT Support professionals with 20+ years of real-world experience

  • Structured learning guided by active IT support practitioners

  • Flexibility to choose between self-paced or live online classes

  • Access to all recorded sessions for ongoing review and reinforcement

IT Support Engineer Online Session - Fortray
  • Access 200+ IT support certifications and qualifications

  • Comprehensive IT support programs created by industry-leading professionals

  • Continuously updated course content aligned with current Canadian tech trends

  • Practical, hands-on learning experiences that mirror real IT workplace tasks

  • Mentorship programs offering personalized guidance and support

IT Support Expert Learning - Fortray
  • 0% interest flexible payment plans

  • Options available from 12 to 36 months (T&Cs apply)

  • Transparent pricing with no hidden fees

  • Payment deferral options for added financial flexibility

  • Simple, fast, and fully online application process

IT Support Finance Plan - Fortray
  • Real-world IT projects and professional data sets

  • Hands-on learning through physical and virtual IT labs

  • Internship opportunities with Canadian partner companies

  • Access to Canadian-based industry events, webinars, and conferences

  • Case studies and success stories from Fortray IT alumni

IT Support Industry Experience - Fortray
  • Professional resume and LinkedIn optimization

  • Interview preparation with IT recruitment specialists

  • Mock interviews with personalized feedback

  • Access to a growing alumni network for continuous support

  • Job Guarantee with the potential to reach a six-figure salary, or get your money back

IT Support Job Placement - Fortray
  • Start strong and aim to earn up to $35K within your first 6 months

  • Progress toward $50K within 6–12 months, depending on role and location

  • Enhance your IT technical expertise for rapid advancement

  • Dedicated career counseling and structured goal-setting sessions

  • Networking opportunities with Canadian-based IT industry professionals

IT Support Career Growth - Fortray

Data Science – Payment Options for Canada

Flexible financing plans are available for candidates from diverse backgrounds and schedules across Canada

Saving

Full

ÂŁ3799
  • Regular Payment: ÂŁ3999
  • Upfront: ÂŁ3799
  • Saving: ÂŁ200
  • Monthly: 0
  • A project-based curriculum
  • Dedicated mentor & tutor
  • Job Guarantee
  • Professional portfolio
  • Career growth mentorship
Most Popular

Half

ÂŁ3899
  • Regular Payment: ÂŁ3999
  • Upfront: ÂŁ1950
  • Saving: ÂŁ100
  • Monthly: ÂŁ177
  • A project-based curriculum
  • Dedicated mentor & tutor
  • Job Guarantee
  • Professional portfolio
  • Career growth mentorship
Flexible

Partial

ÂŁ3999
  • Regular Payment: ÂŁ3999
  • Upfront: ÂŁ400
  • Saving: ÂŁ0
  • Monthly: ÂŁ327
  • A project-based curriculum
  • Dedicated mentor & tutor
  • Job Guarantee
  • Professional portfolio
  • Career growth mentorship
IT Support Program Payment Plan - Fortray

Need More Flexibility?

To help you along your way, we can help you set up a customizable payment plan. Just book a call, we’ll provide you with the details!

Let's Arrange a Call

Data Scientist FAQs

Our Programs are open to anyone who meets the basic eligibility criteria. No specific technical skills are required to join.

The career growth curriculum can be obtained only after getting a job. To learn further about the requirements, feel free to contact our team.

Yes, applicants must be 18 years old or above to be eligible for our Programs. Alternatively, if the applicant is under 18, a parent or legal guardian must apply on their behalf.

Yes, international students can apply, provided they meet the visa requirements that allow them to work full-time for at least one year and have working rights or a visa that permits work upon completion of the Program.

International students must have a visa that allows them to work full-time for at least one year or more upon completion of the Program. Tier-4 or PSW (Post-study work visa or Graduate Visa) required.

No, technical skills are not required to apply for our Programs. We welcome applicants from all backgrounds and provide the necessary training.

There are no specific academic prerequisites for our Programs. Our courses are designed to be accessible to individuals without prior technical knowledge.

No entrance exams or tests are required to join our Programs. Our admission process is straightforward and based on meeting the basic eligibility criteria.

No, work experience is not required for admission to our Programs. We welcome applicants from all backgrounds, including those without prior work experience.

All our Programs are conducted in English. Proficiency in English is necessary to ensure you can follow the course material and participate effectively.

For more information about eligibility, please contact our admissions office at info@fortray.com or call 020 7993 4928. Our team is happy to assist you with any questions you may have.

The Fortray Data Scientist Job Guarantee Program is designed to help individuals secure jobs in the Cloud field by providing training, certification, career services, job placement and support, and mentorship. The roadmap includes Enrollment and Training, Certification, Career Services, and Job Placement.

You need to pass one certification exam at any proctored environment at a Pearson VUE® Authorized Test Center:

  • Tableau certification exam (voucher is not included) or
  • AWS Machine Learning Specialist

No, the voucher for the Tableau certification exam is not included.

The placement process kicks off right after you complete the training (skills) and ace your required certification exams.

Once you pass the Tableau certification exam, you reach out student support team.

Starting salaries for entry-level Data Scientist positions range from 30K to 45K annually.

The Data Scientist Job Guarantee Program can be completed in 4 weeks if you choose the full-time option or 12 weeks as part-time and 24 weeks as self-paced. After training, the placement process usually takes around 16 weeks.

Our mentorship program kicks in once you land an entry-level Data Scientist job! A mentor will schedule a call to discuss your growth and set your long-term career goals.

Our tailored entry-level programs not only help you secure entry-level Data Scientist jobs but also support your career growth to senior positions. We offer advanced-level courses as part of the program, ensuring you have the skills and knowledge needed to advance your career in the Cybersecurity field.

Please click to read the Fortray Job Guarantee Program Terms and Conditions.

The Data Scientist Job Guarantee Program has three options: Regular, which spans 4 weeks, and Fast Track, which spans 12 weeks and Self-Paced which spans 18-24 weeks.

Yes, the Job Guarantee Program has specific start dates for both Full-Time and Part-Time options. Please refer to our Program schedule for the upcoming start dates.

The Job Guarantee Program follows a structured schedule with planned breaks and holidays. These details will be provided to enrolled participants prior to the start of the Program.

Switching between the Full-Time and Part-Time Job Guarantee Programs is subject to availability and Program policies. Requests for such changes should be discussed with our Program coordinators.

Any missed sessions or absences may affect the Program duration. However, recorded videos of live sessions are provided for review. Please inform our Program coordinators in advance if you anticipate any absences.

The Part-Time Job Guarantee Program follows a predetermined schedule to ensure consistency and effectiveness. Participants are encouraged to plan their schedules accordingly to accommodate the Program sessions.

We accept various payment methods, including credit/debit cards, bank transfers, direct debit, and online payment platforms like PayPal.

No, there are no additional fees for using our payment plans. The total cost remains the same, except for the upfront payment discounts offered.

Refund policies vary depending on the Program. Please refer to our Refund Policy for detailed information on eligibility and the refund process.

Yes, there is a 10% discount for paying 100% upfront. Additionally, a 5% discount is offered for paying 50% upfront, with the remaining 50% spread over 10 monthly installments.

We offer three payment plans:

  • 100% Upfront: Pay the entire amount upfront and receive a 10% discount.
  • 50% Upfront: Pay 50% of the total cost upfront and receive a 5% discount. The remaining 50% is paid over 10 monthly installments.
  • 20% Upfront: Pay 20% of the total cost upfront with no discount. The remaining 80% is paid over 10 monthly installments.

If you miss an installment payment, please contact our finance department immediately to discuss your situation and find a solution. Late payments could result in suspension of your enrollment until the payment is made.

Yes, you can pay off the remaining balance early without any penalties. Please contact our finance department to arrange early repayment.

Installment amounts are calculated by dividing the remaining balance after the upfront payment by the number of months in the payment plan (10 months).

For any questions regarding payments and billing, please contact our finance department at accounts@fortray.com or call +4420 7360 3841

There are no certain prerequisites for becoming a data scientist, however, a grasp of computer sciences, mathematics and statistics is helpful at the core level.

A data scientist develops predictive models for forecasting and theorizing.

To become a data scientist, the candidate can be from a non-IT background but must have a passion for mathematics and computer science with an emphasis on statistical data to form predictive models.

A data scientist must have core skills in mathematics, computer science, programming, statistics, critical thinking, machine learning, data visualization, and effective communication.

Becoming a data scientist is a long but fruitful journey where you must have the passion to make it all the way. At Fortray, we offer you some very helpful resources that can help you in the long run.

As a data scientist, one must have a thorough understanding of the management and technical side of the business. Not all businesses consider data science as an IT Job but IT infrastructures and resources can ease this job and improve efficiency.

As a data scientist, you must have a know-how of programming languages, cloud computing infrastructures and data mining programs.

The most common challenges any data scientist faces are information privacy, data quality, undefined KPIs and metrics, data cleansing and multiple data sources.

Book a free call with our advisors

Why is this role the right fit for you and your career goals?
The Program, Payment Options, and Job Guarantee
Your Six-Figure Salary Journey to become a Job-Ready Senior Manager
What you'll get:
A project-Based Learning
Professional Portfolio
Job-Ready Skills
Road-Map to six figure salary
Job Guarantee
Job Guarantee: Land a job within 16 weeks of graduation or receive a full refund.
Impressive Success Rate: Over 98% of our eligible graduates successfully secure employment in their chosen field.

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