DSS2

Data Scientist Certification Program(PDSC)

Master the Art of Data Science with the Professional Data Scientist Certification

Skills you will gain:

80+ Hours Video

15 Live Mentor Sessions

e-LMS Content & Hands-on Sheet

24*7 Email Support

One Dedicated Co-ordinator

Aim:

Join our comprehensive online certification course to become a certified Data Scientist. Master essential skills in data analysis, machine learning, data visualization, big data, and more. Enroll now to advance your career and gain a competitive edge in the rapidly growing field of data science!

Program Objectives:

  • To provide a strong foundation in data science concepts and tools.
  • To train participants in data preprocessing, analysis, and visualization techniques.
  • To enable participants to build predictive models and derive actionable insights.
  • To emphasize communication of data-driven insights to stakeholders.
  • To prepare participants for certification and advanced career opportunities in data science.

What you will learn?

1. Foundations of Data Science

  • Data Types and Structures
  • Data Collection, Cleaning, and Preprocessing
  • Exploratory Data Analysis (EDA) Techniques

2. Statistical Analysis and Inference

  • Descriptive Statistics and Probability Distributions
  • Hypothesis Testing and Inferential Statistics
  • Analysis of Variance (ANOVA) and Chi-Square Tests

3. Data Mining and Machine Learning Techniques

  • Classification Models: Decision Trees, Random Forest, SVM
  • Regression Models: Linear, Logistic, Ridge, and Lasso
  • Clustering Techniques and Association Rules
  • Feature Selection and Dimensionality Reduction

4. Data Visualization and Storytelling

  • Visualization Tools: Matplotlib, Seaborn, Plotly
  • Dashboard Development with Power BI
  • Effective Storytelling with Data for Business Communication

5. Big Data Analytics

  • Handling Large Datasets with Apache Hadoop and Spark
  • Working with NoSQL Databases (MongoDB, Cassandra)
  • Scalable Machine Learning on Distributed Systems

6. Applied Data Science in Business

  • Case Studies in Healthcare, Finance, and E-commerce
  • End-to-End Data Science Project with Real-World Business Problem

7. Capstone Project

  • Choose a Domain-Specific Dataset (Healthcare, Finance, Marketing)
  • Conduct an End-to-End Data Analysis and Visualization
  • Provide Business Insights and Recommendations

Intended For :

  • Aspiring Data Scientists
  • Professionals transitioning into data science roles
  • Students and researchers in statistics, computer science, or engineering
  • Industry professionals seeking to enhance data-driven decision-making skills

Career Supporting Skills