Data Science Course at DDS

  • Course

Course Overview

In the contemporary digital world, data science is no longer limited to one or two sectors. It plays a role in different fields including medicine, economics, or technology. A good and comprehensive Data Science course can help one master techniques used in analyzing large datasets and coming up with meaningful conclusions as well as coming up with decisions based on the analyzed data.

A Data Science course is a systematized program that provides the learners an overview of every facet of data science including data analysis, machine learning, statistical modeling, data visualization, and big data technologies. The main objective of our course DDS is to equip the learners with comprehensive knowledge and practical skills when it comes to data issues and making them capable data scientists.

This Data Science course in Pune from DDS is the perfect one for you since its aim is to make you familiar with the data science theory, tools, and practices.

OUR COURSES

This is What You Will Learn in our Data Science Course

Our data science course is tailor-made for broad coverage, hence enabling you with full knowledge and practical skills. This is what you will learn:

Be introduced to the concepts of data science, its importance, and the cycle of data science.

Learn how to program in Python, a number of its associated data structures and libraries, and its basic syntax.

Have data manipulated using Pandas and NumPy.

Learn the methods of statistics, probability, testing hypothesis, and data distributions.

Come up with compelling visualizations in Matplotlib, Seaborn, and Plotly.

Covers supervised and unsupervised learning, regression, classification, clustering and neural networks.

master Hadoop, Spark, and other big data frameworks.

Apply the acquired knowledge in a real-world project that solves an advanced data problem.

Who All Should Go for a Data Science Training Course in Pune?

Our data science training course is tailored for:

Aspiring Data Scientists

Any person who wishes to start a career in Data Science.

Analytics Professionals

Analysts looking to transition into the field of Data Science.

Software Developers

This would be for developers looking to transition to data science.

Students and Graduates

People who seek to become data scientists, and improve their knowledge in mathematics and computer science.

Business Professionals

It could be pretty senior managers or executives who wish to make very data-driven decisions.

Why Should You Join the DDS Data Science Training Course?

The correct choice of training program in data science could make all the difference in your success. Here’s why our Data Science training course in Pune stands out:

Experienced Instructors

Learn from industry experts with a decade-long experience in data science.

Hands-on Learning

An engagement in practical exercises, real-world projects, and case studies.

Comprehensive Curriculum

Teach all relevant topics and tools required in data science

Career Support

From resume building to interview preparation and finally, job placement—get the best.

Flexible Learning Options

Online or classroom training—take your pick, based on what fits your schedule.
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Key Features of Our Data Science Training

  • Interactive Live Sessions
  • Recorded Session Access
  • Industry-Relevant Projects
  • Certification Assistance
  • Lifetime Access to Course Material
  • Dedicated Support Team
  • Peer Learning and Networking Opportunities
  • Regular Assessments and Feedback
  • Hands-on Labs
  • Career Guidance and Mentorship.

System Requirements

Our Data Science training course requires participants’ systems to have the following:

  • OS : Windows 10 or later, macOS, or Linux.
  • Processor : Intel i5 or higher.
  • RAM : 8 GB. It recommends 16 GB.
  • Storage :  Availability of 100 GB of free space.
  • Internet Connection :  Stable, with a minimum speed of 10 Mbps.
  • Tools and Environments Used : Anaconda Distribution, Jupyter Notebook, Python IDE, for example, PyCharm, and their respective libraries.

Prerequisite for Learning Data Science Training

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Understanding of Programming Logics:

Basic knowledge of program logic. This would involve knowledge of loops, conditionals, functions, and error handling.

Because Python is very simple, with a wide array of libraries at one’s disposal, it has emerged as the language of choice in data science. This is why if you’re starting to program, you really should start with Python.

Familiarity with programming environments:

Knowing how to set up and get through a programming environment or IDE, that is, an Integrated Development Environment, like Jupyter Notebook, PyCharm, or Anaconda, may be handy.

Mathematical Foundations:

The mathematical concepts are explored through a good grasp of algorithms and models in data science.

Key areas include:

Linear Algebra: Understand vectors and matrices and the various operations on these objects.

Calculus: Familiarity with basic ideas of derivatives and integrals, applied in optimization problems and algorithms.

Statistical Analysis: Statistics is truly at the heart of data science, and thus one should be familiar with:

Descriptive Statistics: This considers measures of central tendency, that is, the mean, median, and mode, and dispersion—variance and standard deviation.

Inferential Statistics: Probability distributions, hypothesis testing methods, confidence intervals, and p-values.

Critical Thinking:

Data science involves solving complex problems and making decisions based on available data. An analytical mindset aids in properly interpreting data to elicit meaningful insights.

Problem-Solving Skills: A particular element in this aspect is the methodical tackling of problems and applying logical reasoning for solutions.

Attention to Detail: Attention to detail is required in data analysis. Small mistakes made in data analysis can bring about large inaccuracies. One develops attention to detail necessary for checking the reliability and validity of your findings.

Knowing the Data Formats:

Knowledge of various formats, such as CSV, JSON, Excel, SQL databases, etc. is quite helpful. Reading, writing, and manipulating these formats all come under the umbrella of data handling.

Basic Data Cleaning Techniques:

Much of the data you are working with is likely messy and needs cleaning before analysis. Essential competencies on missing value handling, outliers, and data normalization are critical.

Data Analysis Libraries: In addition, familiarity with some of the most popular data science libraries, including pandas for data manipulation, NumPy for numerical computing, and Matplotlib or Seaborn for data visualization, is beneficial.

Statistical Software: Experience with statistical software or tools, such as R, SAS, or SPSS, may be useful but not necessary.

Enroll at Best Data Science Course in Pune- DDS

Embarking on a journey in Data Science is one of the most life-changing experiences that will open you up to several career opportunities and arm you with skills in making data-driven decisions. This all-encompassing course for training in Data Science, caters to learning at all levels, therefore ensuring you will have a robust understanding of concepts, tools, and techniques in data science.

Whether you are an aspiring data scientist, a professional looking to upgrade your skills, or a business leader looking to leverage data in strategic decisions, our course provides the perfect platform for achieving one’s goals. With experienced instructors, hands-on projects, flexible learning options, and robust career support, DDS’s data science course shall leave no stone unturned in seeing you succeed in this dynamic field of data science.

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Syllabus / Data Science Training

Our data science online course syllabus is designed for comprehensive learning. Listed here is the breakup of modules:

Introduction to Data Science

  • Overview of Data Science
  • Applications of Data Sciences
  • Data Science Lifecycle

Python for Data Science

  • Introduction to Python
  • Data Structures and Libraries
  • Data Importing and Cleaning

Data Manipulation and Analysis

  • Pandas for Data Manipulation.
  • Numerical Computing with NumPy
  • Data Wrangling Techniques

Statistical Analysis

  • Descriptive Statistics
  • Inferential Statistics
  • Hypothesis Testing

Machine Learning

  • Introduction to Machine Learning.
  • Supervised Learning: Regression and Classification
  • Unsupervised Learning: Clustering and Dimensionality Reduction
  • Neural Networks and Deep Learning

Data Visualization

  • Matplotlib and Seaborn
  • Plotly for Interactive Visualizations
  • Dashboard Creation

Big Data Technologies

  • Introduction to Big Data
  • Hadoop Ecosystem
  • Apache Spark for Big Data Processing

Capstone Project

  • Project Planning and Execution
  • Data Collection and Preparation
  • model building and evaluation.
  • Project Presentation and Reporting

Exams & Certifications

You will receive a course completion certificate in Data Science at the end of our course. In addition, you will be prepared for quite several industry-recognized certifications, including:

CDS-Certified Data Scientist

Cloudera Certified Associate Data Analyst (CCA)

Microsoft Certified: Azure Data Scientist Associate

Google Professional Data Engineer

Frequently Asked Questions

The course lasts six months; flexible learning schedules are provided.

Basic knowledge of any kind of coding is beneficial but not required. We begin with the basics.

This course is both online and in-classroom.

Basic understanding of programming and statistics is recommended.

You will be working on real-world projects spanning various domains such as health, finance, and marketing.

Yes, of course; by completing this course, you will receive the certification.

Yes, we provide career support from resume building and interview preparation to placement.

Yes, you will have lifetime access to the material provided in this course.

You can access recorded sessions anytime.

You can enroll by visiting our website and filling out the registration form.

Testimonial's

Ankit Sharma Student

"I took the DDS course in Data Science, and it turned out to be career-changing. The various hands-on projects and real-world applications improved my confidence while hitting data challenges in my job. The instructors are very knowledgeable and supportive throughout the course."

Varsha Singh Student

"The DDS Data Science training course far exceeded my expectations. Class content was comprehensive, with all the important subjects covered under data science. The career support team also helped me to spruce up my resume and interview prep. I can get into my dream company in just one month after finishing the course."

Shivani Bist Student

"Being a business professional, I wanted to drive data-driven decisions for my business strategies. The DDS Data Science course provided all the tools and knowledge that were required in this regard. Great interactive sessions and practical exercises have been beneficial." Roll out your DDS course and career transformation in data science. Enroll with us and become an accomplished data scientist today!