( D.Voc) – Diploma in Vocation – Data Analytics

3,214.0019,284.00

SKU: N/A Category:

Faculty = VOCATIONAL EDUCATION
Program name = ( D.Voc) – Diploma in Vocation – Data Analytics
DURATION=6 Semester
Eligibility = X from recognized board

Fees Structure
Total fees = 115714
Fees per month = 3214
Fees per quarterly = 9642
Fees per semester = 19284
Fees per year = 38568

Scholarship =
Scholarship is depend on 12th board score . Exp = 65%-75% = 10% , 75.01% -85% = 15%, 85.01% – 90% = 20%, 90.01% – 94.99% = 25%, >95% = 30%, All right reserved with connect pulse.

Placement
Lifetime placement support from connect pulse.

Startup
Seeds funding for startup upto 10 lac ( for unique busess plan).

Description

Overview of Diploma in Vocation (D.Voc) in Data Analytics
The Diploma in Vocation (D.Voc) in Data Analytics is designed to provide students with the knowledge and skills required to analyze data effectively and derive actionable insights for decision-making. This program combines theoretical foundations with practical applications, equipping students to work in various industries that leverage data for better business outcomes.

Core Areas of Study
Introduction to Data Analytics

Understanding the role of data analytics in modern business, including key concepts, trends, and methodologies.
Data Visualization Techniques

Learning how to present data findings visually using tools like Tableau, Power BI, or Matplotlib to make data easier to understand and communicate.
Statistical Analysis

Gaining skills in applying statistical methods to analyze data sets, including descriptive and inferential statistics.
Data Science Fundamentals

Exploring the basics of data science, including machine learning concepts, algorithms, and their applications in predictive analytics.
Database Management

Understanding database principles, including data modeling, SQL (Structured Query Language), and data retrieval techniques.
Big Data Technologies

Learning about big data frameworks such as Hadoop and Spark, and understanding their role in processing large volumes of data.
Data Cleaning and Preprocessing

Mastering techniques for cleaning and preparing data for analysis, including handling missing values, outlier detection, and normalization.
Ethics and Data Privacy

Exploring ethical considerations in data analytics, including data privacy issues and compliance with regulations such as GDPR.
Curriculum Structure
A typical D.Voc in Data Analytics program may include:

Core Courses: Comprehensive coursework covering data analysis, statistical methods, visualizations, and database management.
Practical Training: Hands-on projects and case studies using real datasets to reinforce learning and develop problem-solving skills.
Capstone Project: A final project that integrates knowledge gained throughout the course, requiring students to analyze data and present findings.
Admission Requirements
Admission to the D.Voc in Data Analytics program generally requires:

A high school diploma (or equivalent).
Some institutions may prefer candidates with a background in mathematics or statistics.
Skills Developed in the D.Voc Program
Graduates of the Diploma in Vocation in Data Analytics will develop essential skills, including:

Analytical Skills: Ability to analyze complex data sets and extract meaningful insights to support decision-making.
Technical Proficiency: Expertise in data analytics tools and software, including Excel, SQL, R, Python, and data visualization tools.
Problem-Solving Skills: Capability to identify data-related problems and implement effective solutions through analytical methods.
Data-Driven Decision Making: Skills in making informed business decisions based on data analysis and interpretation.
Communication Skills: Ability to present findings and insights clearly to both technical and non-technical audiences.
Career Opportunities
Upon completion of the D.Voc in Data Analytics program, graduates can pursue various career paths, including:

Data Analyst

Analyzing data to identify trends, making recommendations based on findings, and generating reports for stakeholders.
Business Intelligence Analyst

Utilizing data analysis to guide business decisions, developing actionable insights to improve performance.
Data Scientist

Applying advanced analytical techniques and machine learning models to solve complex business problems and predict outcomes.
Market Research Analyst

Conducting analyses of market trends and consumer behavior to inform marketing strategies and decisions.
Database Administrator

Managing database systems, ensuring data integrity, security, and accessibility for analytical purposes.
Conclusion
The Diploma in Vocation in Data Analytics equips students with essential skills and knowledge in data analysis, visualization, and statistical methods, preparing them for a successful career in various industries that require data-driven decision-making. This program emphasizes practical training and application, ensuring graduates are ready to meet the demands of the evolving job market. If you have any further questions about the D.Voc program or related topics, feel free to ask!

Additional information

Pay Now

,