This course is designed to improve data analysis abilities. You will get a thorough understanding of data science, business intelligence, analysis tools, and data visualization.
Additionally, the syllabus covers the fundamentals of mission learning, hypothesis testing, and data modeling. You will get real exposure with practical workshops on live projects.
Both online and offline options are available for the students to learn at their convenience.
Course highlights
- Programming from Basics: Basics and Advanced Topics of Python, SQL, R Languages
- Data Visualization: Data Analysis Using Power BI, Tableau
- Statistics & Machine Learning: Fundamentals, Models, Real-Time Projects
- Hands-On Training: Live Projects, Industry-Based Assignments
- Big Data Tools: Introduction to Technologies like Hadoop, Spark
- Career Support: Mock Interviews, Resume Building, Placement Assistance
- Certification: Authentic Certificate on Course Completion
- Online and Offline Classes: Flexible Learning Options
- Training by Industry Experts: Live Guidance with Experienced Mentors
Course description
The first part of the course contains the basic concepts and methods of data analytics. It covers data collecting, cleaning, and processing. Students gain knowledge of data pre-processing methods, data organisation, and data quality assurance.
Later, various data analysis techniques are studied in depth. You will study supervised and unsupervised learning algorithms, clustering, classification, and regression models. Also, you will get to know how to apply these to real-world data sets. They will also learn about creating, refining, and assessing machine learning models.
Additional topics covered in this course include descriptive and deterministic analyses, data visualization techniques, and statistical methods.
Additionally, students will learn how to demonstrate information obtained from data in the form of graphs, charts, and dashboards using data visualisation tools and techniques.
At the end of the course, students will have the chance to put their newly acquired skills to use through projects and case studies, which aids in solving real-time data analytics problems and gets them ready for industry requirements.
This course, designed by industry experts with lots of practical experience and industry-required skills.
Course Objectives:
- Data collection, cleaning, and analysis.
- The fundamentals of data analytics.
- Programs like R, Python, SQL, and Excel.
- Data visualization with the use of Tableau and Power BI.
- Understand the basics of mission learning.
- Learn business data analytics, finance, and marketing analytics.
- Develop practical skills through project-based learning.
- Work on real-time data sets.
- Corporate analytics and data-driven decision-making.
- Career guidance with interview preparations.
Required Qualifications
- Mathematical Knowledge – Basic mathematics, fundamentals of mathematics, and mathematical logic are required.
- Programming Knowledge – A basic understanding of languages like Python or R is required.
- Database Knowledge – A minimum understanding of SQL is required.
- Excel Knowledge – Knowledge of data handling, formulas, and graphs is required.
- Logical Thinking – Logical thinking skills are required in data analysis.
- Discipline & Interest – Interest in data analytics, a trait of continuous learning.
- Basic Business Understanding – Business knowledge is useful for data-driven decisions.
FAQ
- What are the basic qualifications required to enrol?
A graduation degree or an equivalent educational credential is required of candidates to be qualified for this course. They should also be proficient in maths and computer basics. It is not necessary to have any technical or coding experience.
- What are we going to learn?
This course covers fundamental data analytics skills with some programming languages. It also discusses big data, statistics, cloud computing, machine learning principles, and practical projects.
- How can this six-month intensive course be helpful in a short amount of time?
Students learn skills and confidence for a successful career with mentor support and interview preparation, as well as practical training through assignments and real-time projects.
- Job opportunities after completing this course?
You can look into several career options after finishing this course, including jobs like freelance data consultant, business intelligence analyst, machine learning analyst, marketing analyst, SQL & reporting analyst, data analyst, and big data analyst.
- What are the projects?
- Sales Analysis (using Excel & SQL)
- Customer Behavior Analysis (using Python, Tableau)
- FinancialData Analysis (using Power BI)6.
- Class timings and mode (online or offline)?
Class timings and modes include both online and offline options. Online classes are available in live and recorded formats, while offline sessions are conducted in selected cities. Full-time and part-time batches are also available. Weekend batches are specifically designed for working professionals.
- Is there a certification after completing the course?
Yes, you will get an industry-recognized certification.
- Are there practical projects?
You will work on more than five live projects, explore case studies based on real-world data, and gain hands-on experience through an internship opportunity.
- Is there placement support after the course?
Yes, placement support is provided, with and 100% job assistance.
Since it is a course designed as per the demand of companies, it will bring a good change in the career.
