Edoxi's 75-hour Online Data Science Certification Course equips professionals and graduates with practical analytical skills for entry-level data roles. Designed for career switchers and learners from non-technical backgrounds, the course provides a strong foundation in Python, SQL, Power BI, and introductory machine learning concepts. The curriculum reflects common data analysis workflows used in modern business environments.
Learners participate in hands-on lab exercises using Python libraries such as Pandas and Matplotlib to solve practical business problems. Training also covers database design with MySQL, interactive dashboard development in Power BI, and exploratory data analysis techniques. These activities help build skills in data cleaning, transformation, visualisation, and basic predictive modelling.
The course prepares learners for entry-level positions in data analytics, business intelligence, and trainee data science roles. The skills gained can be applied across functions such as operations, finance, HR, sales, supply chain, and project management. Participants also develop the ability to interpret data effectively and communicate insights to stakeholders.
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 provides hands-on lab sessions featuring Python programming tasks, MySQL database implementations, and Power BI dashboard development. Live demonstrations, case studies, and doubt clearance sessions ensure participants gain practical experience with Pandas, NumPy, Matplotlib, Seaborn, SQL queries, and Power Query transformations.
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.
Pursuing the Data Science certification course provides multiple career entry points into analytical and data-driven roles across industries, including finance, healthcare, logistics, retail, and technology sectors. Here are some outcomes that you can expect after completing the Data Science Course;
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Here’s a four-step guide to becoming a Data Science professional.
Join Edoxi’s Data Science Course
Edoxi is a leading Data Science Training Institute, offering the best professional training courses. The following are some of the reasons why you should choose our Data Science Training;
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.
Gain the technical expertise and business acumen required to thrive in the fast-growing, data-driven industries.
Benefit from comprehensive guidance, including access to up-to-date tools, doubt clearance sessions, and career mentorship.
Upon successful completion of the course, you will receive a course completion certificate from Edoxi. This validates your skills to potential employers.
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.
The course provides comprehensive training in Power BI tools and techniques; however does not provide Power BI Certification. If you want a certification, then you can join the Power BI Training Course.
Yes, the Data Science training can be customised for corporate teams. The course structure, schedule, and delivery format can be adapted to meet organisational learning objectives and workforce development needs.
Typical entry-level roles include Junior Data Analyst, Business Intelligence Analyst, Reporting Analyst, Data Analytics Associate, and Junior Database Analyst.
Online sessions are conducted live and are designed to replicate an interactive classroom environment. Training includes demonstrations, screen sharing, virtual labs, and real-time interaction with instructors.
The duration varies depending on the training format and depth of the curriculum. Most professional training programs take 75 hours, while intensive bootcamps may be completed in a few weeks.
You will typically learn Python programming, SQL, statistics, data visualisation, machine learning basics, data cleaning, exploratory data analysis (EDA), and predictive modelling.
Common tools include Python, R, SQL, Power BI, Tableau, Pandas, NumPy, Scikit-learn, Jupyter Notebook, and Excel.
Yes. Data Science is one of the most in-demand fields globally. Organisations across industries, including finance, healthcare, retail, manufacturing, technology, telecommunications, and government, use data to improve decision-making, automate processes, and develop AI-powered products. Demand is particularly strong for professionals with skills in Python, SQL, machine learning, data visualisation, and AI.
Salaries vary by country, experience, and industry. Typical annual ranges are:
|
Experience Level |
Typical Salary (USD) |
|
Entry Level |
$60,000–$100,000 |
|
Mid-Level |
$100,000–$150,000 |
|
Senior |
$150,000–$250,000+ |
The better choice depends on your career goals.
|
Data Analytics |
Data Science |
|
Focuses on understanding and reporting data |
Focuses on prediction and advanced modeling |
|
Uses dashboards and business insights |
Uses machine learning and AI |
|
Easier to enter |
More technical |
|
Requires less programming |
Requires stronger programming and math skills |
|
Faster learning curve |
Longer learning curve |
A realistic timeline depends on your background:
|
Background |
Typical Learning Time |
|
IT/Programming |
6–12 months |
|
Engineering/Math |
8–15 months |
|
Non-IT |
12–24 months |
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.
