Launch Your Data Journey with Data Science & Analytics

Course Includes

Recorded Lessons: 14
Live Lectures: 13
Recorded Hours: 5
Live Hours: 84
Duration: 1 month 1 day (Avg)

Course Features

Access on mobile
TDP Assessment Test

Top Skills Covered

Overview

Course Description

This comprehensive program equips students with the expertise to derive meaningful insights from data, employing advanced statistical and machine learning techniques alongside adept data visualization and operational skills. Throughout the course, students master popular data analysis tools, such as Python and SQL delve into cutting-edge realms like natural language processing (NLP) and deep learning. Engaging in hands-on projects, they apply their knowledge to solve real-world challenges, cultivating a skill set tailored for making informed decisions grounded in data across diverse industries. The curriculum spans the entirety of data science, encompassing machine learning operations and proficiency in NLP and deep learning with practical experience in real-time industry projects. Additionally, participants gain mastery in visualization tools such as Tableau and PowerBI, further enhancing their capabilities in presenting and interpreting data-driven insights.

1.Interdisciplinary Expertise

Strength your foundational Knowledge apply this understanding to specific problems, and build competencies who work in multiple Programming environments.

2.Strong Academic Support

Learn From a variety of Activities and through high degree of Communication Between Faculty and Students

3.Self Placed Learning

Engage and learn on your own faq Explore our extensive, access your learning materials online anytime, anywhere attend live c, and record lectures and talks that work for your schedule.

4.Industry Oriended Ourriculum

Gain real-world insights from industry-focused module projects and learn from faculty who come with Decodes of rich industry Experience & Expertise.

Qualifed Faculty & Research
State of the Art-Infrastructure
Data sets and Database
Professional Development Oppurtunities
Carrier placement support
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Ethical Consideration & Responsible AI

Data Science

Modulation digital provides the best Data Science Coaching in Laxmi Nagar Delhi these courses are open to all graduates post graduation and working professionals

Topics Covered:

Introduction to Python

Python for Data Science

Data Visualisation in Python

Data Analysis Using SQL (Optional)

Advanced SQL and Best Practices (Optional)

Data Analysis in Excel

Analytics Problem Solving

Math for Machine Learning

Exploratory Data Analysis

Cloud Essentials: Intro to Git & Github

Inferential Statistics

Hypothesis Testing

Lending Club Case Study

What you'll learn

Comprehensive Understanding: Develop a thorough understanding of the core concepts, principles, and techniques of digital marketing, including its various channels, strategies, and tools. Website Optimization: Acquire the skills to design, develop, and optimize effective websites that enhance user experience (UX), drive traffic, and support overall digital marketing objectives. Career Readiness: Equip yourself with the skills, knowledge, and confidence needed to pursue a career in digital marketing or advance your existing marketing career to new heights. Practical Experience: Engage in hands-on exercises, real-world projects, and case studies that simulate the challenges and scenarios encountered in the digital marketing industry. Strategic Planning and Execution: Learn how to develop comprehensive digital marketing strategies, set SMART goals, define target audiences, allocate resources effectively, and implement campaigns that align with business objectives. Search Engine Marketing (SEM) Skills: Acquire pr

Requirements

Basic Computer Skills
Strong Math Skills. Most data science professionals already have a strong background in mathematics, either from high school, college, or both. ...
Familiarity with Object-Oriented Programming (OOP) ...

Course Content

13 Lessons | 89:00 Total hours

Data Analytics

Introduction Of Python