Edoxi's 75-hour Online Data Science Certification Course equips professionals and graduates with practical analytical skills for entry-level data roles. It suits career changers and learners from non-technical backgrounds, and it builds a strong foundation in Python, SQL, Power BI, and introductory machine learning. The curriculum reflects data analysis workflows used in modern business environments worldwide.
You complete hands-on lab exercises using Python libraries like Pandas and Matplotlib to solve real business problems. The course also covers database design with MySQL, interactive dashboard development in Power BI, and exploratory data analysis techniques. These exercises build your skills in data cleaning, transformation, visualisation, and basic predictive modelling.
| Course Detail | Information |
|---|---|
| Course Duration | 75 Hours |
| Corporate Training | 5 Days |
| Mode of Delivery | Online, Corporate Training |
| Prerequisites | Basic Computer Literacy |
| Course Level | Beginner to Intermediate |
| Tools Covered | Python, MySQL, Power BI, Machine Learning |
| Projects | 4 Real-World Projects |
| Batch Ratio | Small Batch / 1:1 |
| Training Schedule | Weekdays & Weekends (Flexible) |
By the end of the course, you gain the skills for entry-level roles in data analytics, business intelligence, and trainee data science positions. You apply these skills across business functions like operations, finance, HR, sales, supply chain, and project management. You also learn to interpret data clearly and communicate insights effectively to stakeholders.
For organisations, Edoxi also offers a customised Corporate Data Science Training programme. You can tailor the curriculum, delivery format, and schedule to your team's specific skill gaps and business goals, with options for online, in-person, or hybrid delivery depending on your location.
For information about course fees, the syllabus, schedules, or online, classroom, and corporate training options, contact the Edoxi team.
Practice data manipulation using Pandas and NumPy libraries on authentic business data.
Observe end-to-end data analysis processes from acquisition to insight generation.
Design schema, establish relationships, and execute SQL operations in practical scenarios.
Build interactive reports that connect multiple data sources and include calculated measures.
Work on sector-specific case studies tailored to finance, healthcare, retail, or logistics domains.
Receive individual attention in small batches with dedicated trainer support.
Recent graduates seeking to start careers in data analytics without prior technical experience.
Individuals from finance, HR, sales, marketing, supply chain, or project management backgrounds.
Professionals looking to expand into analytics and junior data science positions.
Organizations aiming to develop data-driven decision-making capabilities across departments.
This Data Science course is built around hands-on learning. Through live demonstrations and lab sessions, you gain practical experience with Pandas, NumPy, Matplotlib, Seaborn, SQL queries, and Power Query. You complete four real-world projects covering the full data science workflow.
Work on real-world datasets using Pandas and Matplotlib libraries. Perform data manipulation, statistical analysis, and create insightful visualisations to communicate findings effectively across business contexts.
Design and implement comprehensive database schemas using MySQL. Create tables, establish relationships, write SQL queries for insertion, retrieval, updates, and deletions. Build sample applications interacting with databases.
Create interactive dashboards incorporating charts, graphs, and maps to present key insights. Connect multiple data sources, perform transformations, and create calculated measures to enhance analytical capabilities.
Build predictive models using machine learning algorithms. Perform data preprocessing, train-test splits, model training, hyperparameter tuning, and performance evaluation. Present results with appropriate visualisations for stakeholder communication.
Completing this Data Science certification course opens multiple entry points into analytical and data-driven roles across industries, including finance, healthcare, logistics, retail, and technology. Here's what you can expect to achieve:
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Join Edoxi’s Data Science Course
Edoxi is a trusted Data Science Training Institute, known for delivering practical, industry-relevant training. Here are a few reasons to choose Edoxi for your Data Science training:
Learn from trainers with 8+ years of experience in data science, cloud computing, and software engineering. Our trainers hold industry-recognised certifications, including AWS Academy Accredited Educator, AWS Solutions Architect, Microsoft Azure Fundamentals, and Google Certified Educator.
Gain expertise in real-world data science through practical projects that reinforce core concepts and build problem-solving skills.
Gain expertise in real-world data science through practical projects that reinforce core concepts and build problem-solving skills.
Create a portfolio featuring four major projects using leading tools such as Python, MySQL, Power BI, and machine learning algorithms.
Learn Python fundamentals and advance step-by-step into database management, business intelligence, statistics, and machine learning techniques.
Benefit from comprehensive guidance, including access to up-to-date tools, doubt clearance sessions, and career mentorship.
Learn in small batches with a 1:1 batch ratio, giving you direct access to your trainer for faster doubt resolution and focused guidance throughout the course.
Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!
Nahid S
Nahid S. is an experienced educator with 8+ years of expertise in academia, training, and software development. Skilled in curriculum design, interactive training, and mentorship, she has equipped learners with hands-on skills in data analytics, data science, cloud computing, and software engineering. Nahid is an AWS Academy Accredited Educator, AWS Certified Solutions Architect – Associate, Microsoft Certified: Azure Fundamentals, and Google Certified Educator (Level 1). She brings a strong technical foundation and industry credibility to the classroom, blending theoretical knowledge with practical applications.
Nahid has delivered engaging lectures and practical sessions across core and elective subjects, including Cloud Computing, Python, Machine Learning, and Data Science. Nahid has designed and implemented industry-relevant training programs that boost employability. With a strong focus on student development, she has provided mentorship in projects, internships, and career planning while organising workshops, seminars, and guest lectures to bridge the gap between academia and industry.
Here is the list of other major locations where Edoxi offers Data Science Course
No prior programming experience is required. The Data Science course begins with Python fundamentals and gradually builds your skills through guided exercises and practical projects.
Data science and analytics skills are used across many industries, including finance, healthcare, retail, logistics, supply chain, operations, HR, sales, marketing, and project management. Organisations in these sectors rely on data-driven insights to support decision-making.
Typical entry-level roles include Junior Data Analyst, Business Intelligence Analyst, Reporting Analyst, Data Analytics Associate, and Junior Database Analyst.
Salaries vary by region, experience, and industry, but data roles generally offer strong earning potential, with significant growth as you gain experience.
|
Experience Level |
Typical Salary (USD) |
|
Entry Level |
$60,000–$100,000 |
|
Mid-Level |
$100,000–$150,000 |
|
Senior |
$150,000–$250,000+ |
Yes. Even without an IT background, you can learn Data Science by building skills in:
Analytical thinking and consistent practice are often more important than having a computer science degree.
Here is the list of other major locations where Edoxi offers the Data Science Course:
