Data Science Certification Course



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Data Science Certification Course

Wissen Baum Software Solutions

Welcome to our Data Science Course! We're dedicated to providing you with comprehensive training to become proficient in Data Science. Our course covers a wide range of topics, including the latest tools and techniques in machine learning, big data processing, Python programming, data visualization, statistics, and artificial intelligence. Our goal is to equip you with the skills and knowledge needed to succeed in real-world business environments. Whether you're a beginner or an experienced professional looking to enhance your skills, our course is designed to help you achieve your goals.

Join us on this journey to become a Data Science expert!

Location

B 113, B wing, G.O Square,
Wakad, Pune 411057, India

 Start Date

1-Aug-2024

Let's get in touch

  • Phone Number
    +91 8237700660 +91 7972692998
  • Email Address
    info@eduni.in carrers@eduni.in
  • Street Address
    B 113, B wing, G.O Square, Wakad, Pune 411057, India
  • Website URL
    www.wissenbaum.com

Key areas of training

Data Science Course
Overview

  • Data Science Overview
  • Dealing with Different Types of Data
  • Data Visualization for Decision making
  • Data Science in Different Sectors
  • Data Science Framework and Latest trends

Data Science
with SQL

  • Introduction to Data Science and Databases
  • SQL Fundamentals
  • Advanced SQL Concepts
  • Introduction to NoSQL Databases
  • Data Modeling with NoSQL
  • Working with MongoDB
  • Advanced Topics in NoSQL
  • Data Science Applications


Intro to Python
Programming

  • Data Types and Variables in Python
  • Data Structures in Python
  • Control Structures and Functions in Python
  • Object-Oriented Programming (OOP) in Python
  • Problem-Solving in Python

Python for
Data Science

  • Numpy Arrays and Operations
  • Data Manipulation with Pandas
  • Data Cleaning in Python
  • Introduction to Machine Learning with Scikit-learn
  • Introduction to Kaggle
  • Various Plots in Matplotlib
  • Data Visualisation with Seaborn
  • Model Evaluation and Validation

Data Science
with Excel

  • Introduction to Data Science and Excel
  • Data Manipulation and Cleaning in Excel
  • Data Visualization with Excel
  • Predictive Modeling and What-If Analysis
  • Data Mining and Advanced Analysis Techniques
  • Dash boarding

Data Visualization with Tableau

  • Understanding Tableau Interface
  • Data Connection and
    Preparation
  • Creating and Formatting Charts
  • Using Calculations
  • Charts, Plots, Hierarchies
  • Dashboard Creation

Machine Learning with Python

  • Introduction to Machine Learning
  • Types of Machine Learning
  • Linear Regression
  • Optimization Techniques
  • Gradient Descent
  • Logistic Regression
  • Decision Trees and Random Forests
  • K-Means Clustering and Hierarchical Clustering
  • Time Series

Artificial Intelligence

  • Introduction to Data Science and AI
  • Data Science and AI
  • Data Preprocessing and Exploration
  • Machine Learning Fundamentals
  • Introduction to Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • AI Model Deployment and Interpretation

ChatGPT and Generative AI

  • Using ChatGPT for Communicatio and Research
  • Leveraging ChatGPT for Python and SQL
  • Develope AI Generative Model
  • Other Generative AI Tools
  • Introduction to OpenAI APIs
  • Prompt Engineering Basics

Who Should Do The Data Science Course?

Tools and Technologies

Program Highlights

  • Build a foundation in data science.
  • Develop essential statistical analysis skills.
  • Learn python for data manipulation.
  • Master data Cleaning and Preprocessing.
  • Explore and interpret data visually.
  • Understand machine learning concepts and applications.
  • Grasp supervised and unsupervised learning techniques.
  • Evaluate and validate machine learning models.
  • Enhance model performance through feature engineering.

Career Prospects / Job Roles

The career prospects for data science professionals are highly promising. With the increasing importance of data-driven decision-making across industries, there is a growing demand for skilled data scientists. Data science professionals can find opportunities in various sectors like finance, healthcare, marketing, and technology. As organizations continue to invest in data-driven strategies, the demand for data science professionals will only continue to grow in the future. Data science professionals are hired in the following job roles:


  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Data Engineer
  • Business Intelligence Analyst
  • Statistician
  • Data Architect
  • Research Scientist
  • Data Consultant

Why choose to learn CAE/FEA Analyst course with Eduni

Certification

Course Completion Certificate


Recorded Sessions

Recorded sessions available for review to catch up or revisit material.

Good Trainer

Years of industry experience


Mentorship

Students receive career development guidance from industry-certified mentors

Projects

Continuous project assessments aid students, enhancing job interview opportunities post-course


Doubt Resolution

Dout Clearing Session and Peer Support Groups

Placement Assistance

Eduni's initiative provides placement support to eligible students upon successful course completion.

Career Support

Access extensive career coaching and upgrade yourself.

Crack Interviews

Master interview skills confidently with our course, designed to help you crack interviews effectively.


Demo

Did you know?

Key Skills for Data Science Professionals in India

Data science professionals require a combination of technical and soft skills to succeed in their careers. Key technical skills include proficiency in statistical software, strong data analysis fundamentals, machine learning expertise, and data visualization skills. Essential soft skills include excellent communication, problem-solving, and teamwork abilities. Additional beneficial skills include knowledge of database management, cloud computing experience, and advanced programming skills.

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