PG Diploma in Data Science and AI

  • 12 Months Online Program
  • Online-live sessions with Industry Experts
  • 100% Job Guarantee
  • Expert and Industry-experienced Trainers
  • Multiple Live Projects
  • Industry-graded and Market-Ready Skills
  • Personalized progressive Learning
  • Earn certification without a halt in your job
DOWNLOAD BROCHURE
UPCOMING BATCHES

3500+

Students Placed

$50,000

Highest Package

80%

Average Salary hike

400+

Hiring Partners

PG Diploma in Data Science and AI

Qualify Learn has developed an innovative program focused on the importance of an academic foundation for building a strong career in Data Science and Al. This research- based curriculum offers a deep understanding of data science applications in today’s technological landscape, equipping students with both theoretical knowledge and practical skills relevant to business and society.

Graduates of the PG Diploma in Data Science and Al will emerge as skilled professionals ready to take on diverse roles such as Data Scientists, Al Researchers, and Entrepreneurs. The program emphasizes hands-on experience through real-life industry projects guided by experts, empowering students to harness cutting-edge technologies and frameworks.

Key topics include Python, Machine Learning, Deep Learning, NLP, and SQL, ensuring students are well-versed in essential components of Data Science. By joining this program, data enthusiasts and professionals can enhance their expertise with a curriculum designed in collaboration with industry leaders. Enroll in the PGP in Data Science and Al today to accelerate your career in this dynamic field.

PG Diploma in Data Science and AI

650%

Data Science sector has witnessed a massive hike of 650%, far outpacing other sectors.

61%

Jobs are open for candidates with 0-5 years experience.

2.7 MILLION

The 2024 global estimate calls for 2.7 million job postings for analytics and data science roles.

39%

The Global Data Science market is projected to advance at a CAGR of 39% to reach $195 Billion.

2024

Globally to become one of the top five skills for jobs in 2024.

Why Learn Data Science

  • High Demand for Professionals:
    Data Science skills are increasingly sought after across various industries, leading to numerous job opportunities.
  • Data-Driven Decision Making: Organizations rely on data analysis to make informed decisions, giving data scientists a crucial role in shaping strategies.
  • Diverse Career Paths: Data Science opens doors to various roles, including Data Analyst, Data Engineer, Machine Learning Engineer, and Al Researcher.
  • Impact on Society: Data Science applications contribute to advancements in healthcare, finance, and environmental science, positively influencing society.

  • Interdisciplinary Nature:     Data Science combines mathematics, statistics, and computer science, making it an intellectually stimulating field.

By the end of this program, you'll achieve

Comprehensive comprehension of diverse data types and datasets.

Proficient creation of visualizations and dashboards to drive data-driven decision-making processes.

Thorough understanding of both structured and unstructured databases.

In-depth knowledge of Machine Learning and Deep Learning algorithms.

Profound understanding of NLP (Natural Language Processing) and Time Series concepts.

Proficiency in extracting insights and patterns from raw data of varied forms.

Great Understanding of Structured and Unstructured Databases

Ability to conduct multifaceted analyses on a wide array of data categories.

Capability to craft robust predictive models employing advanced Machine Learning and Deep Learning techniques.

Program Highlights

Comprehensive Curriculum

Covers key areas including statistics, machine learning, data visualization, and big data technologies.

Hands-On Projects

Engage in real-world projects that enhance your portfolio, allowing you to apply leamed concepts to solve actual business problems.

Expert Faculty

Learn from industry professionals and experienced educators who provide insights into current trends and best practices in data science.

State-of-the-Art Tools

Gain proficiency in popular data science tools and languages such as Python, R, SQL, TensorFlow, and Tableau.

Networking and Career Support

Access to industry events, quest lectures, and career counseling to help you connect with potential employers and advance your career.

100% Job Guarantee

relevant knowledge, and personalized  career support to ensure your success in the 

Program Curriculum

  • Overview of Data Science and its importance
  • Data Science lifecycle and methodologies
  • Key concepts: Data, Information, Knowledge
  • Python/R for Data Analysis
  • Introduction to libraries (Pandas, NumPy, Matplotlib, Seaborn)
  • Basic programming concepts and data structures
  • Descriptive and inferential statistics
  • Probability distributions
  • Hypothesis testing and statistical significance
  • Data cleaning techniques
  • Handling missing data and outliers
  • Data transformation and feature engineering
  • Techniques for visualizing data
  • Identifying patterns and trends
  • Use of tools like Tableau or Power BI
  • Supervised vs. unsupervised learning
  • Key algorithms: Linear regression, decision trees, clustering, etc.
  • Model evaluation metrics and validation techniques
  • Deep learning introduction (Neural Networks)
  • Natural Language Processing (NLP)
  • Model tuning and optimization
  • Introduction to big data concepts and tools (Hadoop, Spark)
  • NoSQL databases (MongoDB, Cassandra)
  • Data storage and retrieval techniques
  • Best practices for data visualization
  • Advanced visualization tools and libraries (Tableau, Plotly)
  • Storytelling with data
  •  
  • Case studies in various sectors (finance, healthcare, marketing)
  • Ethical considerations in data science
  • Trends and future of data science

Tools to Master

Capstone Projects

Predictive Analytics

  • Project Idea: Build a model to predict sales or customer behavior
  • Example: Using historical sales data to forecast future sales trends for a retail company

    • Natural Language Processing (NLP)

    • Project Idea: Analyze and interpret textual data
    • Example: Sentiment analysis on social media posts or product reviews to gauge customer satisfaction.

    Image Classification

    • Project Idea: Use deep learning techniques to classify images.
    • Example: Developing a model to identify different species of plants based on images.

    Recommendation Systems

    • Project Idea: Create a system to recommend products or content.
    • Example: Building a movie recommendation system based on user preferences and viewing history

    Languages and Tools Covered

    Why Qualify Learn

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    Participate in Weekday Problem-Solving Sessions led by Industry Experts

    Engage in problem-solving sessions guided by industry professionals throughout the weekdays.
    Enhance problem-solving skills through active participation on platforms like HackerRank and HackerEarth.
    Acquire daily insights into new problem-solving techniques and strategies.
    Access personalized doubt resolution sessions whenever needed to ensure continual learning and growth.

    Career Assistance

    Learn Insights on Futuristic Approaches

    Workshops on Resume Review & Interview Preparation

    Career Guidance and Mentorship by Careerera and Industry Leaders

    Our student From

    Application Process

    Apply by filling a simple online application form

    Admissions committee will review and shortlist.

    Shortlisted candidates need to appear for an online aptitude test.

    Screening call with Alumni/ Faculty

    FAQs

    The Duration of the program is 12 Months, it is completely online and also comes with 6 months online internship. 

    The program includes core modules, elective courses, capstone projects, and industry internships to ensure a balance between theory and practical application.

    While prior coding knowledge is advantageous, the program often includes foundational courses for beginners.

    Admission usually involves submitting an online application, academic transcripts, a statement of purpose, and, in some cases, clearing an entrance exam or interview.

    Key topics include:

    • Machine Learning and Artificial Intelligence
    • Data Visualization and Communication
    • Big Data Analytics
    • Cloud Computing
    • Python and R Programming
    • Deep Learning and Neural Networks

    Yes, the program includes real-world projects, case studies, and a final capstone project to apply your learning.

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