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Data Science Training Certification
The professionally designed Data Science training certification helps freshers and professionals understand data modelling, machine learning, data analysis, data structure, Python programming, and the latest updates in the multidisciplinary field.
This comprehensive approach combines
Data Science Training Certification
Learn from the industry’s certified and experienced data scientists.
Familiarise yourself with basic tools and techniques of data science.
Obtain a globally-recognised certification to boost prospects.
COURSE OVERVIEW
The demand for well-certified data scientists is ubiquitous in IT, health, e-commerce, retail, entertainment, and finance industries. Our Data Science Training Certification will solidify your foundation in this multidisciplinary field and inspire you to explore its practical applications, empowering you to make a real-world impact. It will give you a comprehensive understanding of data science, its fundamental tools, and its practical advantages.
The training commences with an introduction to scientific methods, algorithms, and programming languages, setting the stage for a practical understanding of different dimensions of data science. We acquaint you with time series (a method of forecasting), probability and statistics (mathematics for trend identification and prediction), data structures (data organisation), data analysis, and other essential components that underpin the practical application of data science.
As the field evolves rapidly, we ensure you are equipped with the latest topics, making your learning valuable and engaging. By building your foundation in data science, we help you pave the way for a highly influential career path currently in high demand. Our training sessions make the program accessible to both individuals and groups.
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COURSE OBJECTIVES
By the end of this course, participants will be able to:
- Understand the data science landscape in various industries, including IT, health, finance, etc.
- Learn the arithmetic probability and statistics measures like dispersion, central tendency and hypothesis for data analysis.
- Understand Python programming basics like Anaconda, variables, control statements, and Python’s built-in data structures.
- Examine how to use Python in data science to analyse and interpret complex datasets, visualise data, and build machine learning models.
- Create insightful data visualisation by familiarising yourself with Seaborn and Matplotlib.
- Analyse and gain proficiency in statistical methods to organise and summarise databases.
- Learn methods to bring implementation in machine learning algorithms to use them for data science.
- Analyse time-series data to identify patterns and trends, create forecasts, and gain insights into the factors impacting operations.
- Understand the significance of data science to improve decision-making and problem-solving skills.
- Develop the skills and positiveness of learning advanced data science technologies to build your career in the field.
Audience
- We recommend this course to freshers and professionals. It is well suitable for:
- Business Intelligence professionals
- Business Analysts
- Data Managers/Analysers
- Database Administers
- Information Statisticians/Architects
- Aspirants who want to excel in data analysis/machine learning
ELIGIBILITY CRITERIA
This program is suitable for everyone regardless of work experience and educational qualifications. A basic understanding of mathematics and data analysis is preferred. Please contact us for more details concerning eligibility criteria.
Course Outline
Machine learning
- Foundational knowledge of programming computers to learn from data and make decisions based on that learning
- Use algorithms to analyse large sets of information, identify patterns, and predict outcomes.
Matplotlib
- Introduction to this powerful plotting library in Python to simplify data visualisation
- Create a range of static, animated, and interactive plots.
- Generate clear, eye-catching graphs and charts from data
- Learn to effectively communicate complex information through visuals.
Seaborn
- Introduction to this powerful data visualisation library in Python to develop informative and attractive statistical graphics
Predictive Modelling
- Develop models to predict future outcomes by analysing historical data
- Use of statistics and algorithms to analyse patterns using past data
- Basics of predictive modelling
Probability and Statistics
- Analyse the likelihood of events
- Analyse data to make informed decisions
- Introduction to probability
- Introduction to statistics
Data Analysis and Interpretation
- Examine raw data to draw meaningful insights and conclusions
- Use of statistical tools and techniques
- Translate complex data into information to take strategic actions
Data Structures
- Learn to organise and store data on a computer
- Knowledge of arrays, lists, and trees for data handling operations
- Management and manipulation of data
- Optimising the performance of software applications
Control and Loop Statements
- Fundamental concepts in programming to maintain flow of execution based on specific conditions
- Learn implementation path by using conditions (if, else)
- Loop statements (for, while)
Python Programming
- Introduction
- Overview of writing clear and logical code for small and large-scale projects
- Use of Python extensive libraries and frameworks to streamline web development, software development, and automation tasks
- Preparation of advanced concepts in Python programming
Functions and classes
- Introduction to make code more organised, readable, and manageable by breaking complex processes into smaller section
- Introduction to Classes to create objects in object-oriented programming
Data Manipulation
- Change or adjust data to make it organised and easy to analyse, like sorting, filtering, grouping, and transforming data
Pandas
- Introduction to this software library for data manipulation and analysis.
- Data structure
- Manipulation of numerical tables and time series
- Data alignment, missing data handling, and operations across diverse datasets for data handling and analysis
(Note: The course is updated from time to time. The above module is a general guideline. To learn about the latest course topics, drop an inquiry at enquiry@vinsys.com)
ABOUT THE CERTIFICATION
Upon completing the training, you will get the Data Science certification. Since we are one of the most reputed online education providers globally, the certification will add value to your resume and enable you to pursue further advanced courses in the field.
Choose Your Preferred Mode
ONLINE TRAINING
- Improve your skills in a particular area from our short-term subject-centric courses.
- Receive a comprehensive guide to improve your proficiency and credibility.
- Grow your community by connecting with people related to your sector.
- Discover sophisticated training solutions tailored for demanding courses.
CORPORATE TRAINING
- Training support to new, existing, small, and large ventures.
- Access comprehensive courses to support organisational goals.
- Popular for industry-relevant, customised, hands-on, and measurable training solutions.
- Improve attrition rates and renewed engagement.
FAQ’s
Why should I choose Vinsys for data science courses?
Vinsys has been in the online education industry for more than two decades. We have made our mark in providing in-depth knowledge to individuals and teams by connecting learners to industry experts. Our unique attractions include customisable course content, flexible learning, and networking, which will help you stay ahead of the competition.
What is the course duration?
The course duration can vary depending on the training format you have selected. Please consult us to choose your training format and learn about the duration.
Do you provide the course material?
After admission, you can access our comprehensive course materials, including lectures, notes, case studies, and other resources. We are committed to providing you with all the tools you need to succeed in your data science studies.
Do you provide certification?
Once the course ends, you will earn the data science certification to demonstrate your basic skills in this field.
Can I join further courses in data science at Vinsys?
After this foundation course, you can join an advanced specialisation data science program at Vinsys. Our career counsellor will suggest a program that suits your interests and proficiency.
Why Vinsys
Seasoned Instructors
Official Vendor Partnerships
Authorized Courseware
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
Customizable Blended Learning Options
Reviews
The course has been an enlightening experience for me to dive into the world of R. Vinsys-led course is well-designed, and instructors are trained to provide clear explanations of the concepts. I am able to apply statistical computing and data analysis concepts to kickstart my journey in the field as a beginner. Overall, it is a fantastic course experience for beginners in R programming.
Pratik PatilAI Compliance Officer
My team embarked on this R programming course with varied skills. The course's structured approach was promising and seamlessly emphasized statistical computing and graphics in R. The hands-on experience and practical applications of R in data analysis have enhanced my team's collective skill set. Thank you, Vinsys, for fostering a shared understanding of R within my team.
Rajiv RathodSenior Cloud Security Engineer
I am deeply grateful to Team Vinsys for their invaluable contribution to my understanding of data science's technicalities. I am ready to take the Microsoft Professional Program in Data Science.
Abhishek somraSenior Project Manager
Before joining this program, I wasn’t very clear about this field. This comprehensive program has given me a clear understanding of data collection, analysis, prediction, modelling, and interpretation.
Dhananjay Singh SisodiaData Scientist
Our IT team has found this course promising for understanding the value of data science in decision-making, customer-centric strategies, strategic alignment, and goal-setting. They are interested in pursuing further advanced courses in this field.
Minal Ahmed SheikhMLOps Engineer I Data science
