ExcelR Data Science Course Review: Truth Exposed

Excelr’s Data Science Course is a training program designed to help individuals learn the basics and advanced concepts of data science and boost their career prospects. This course is suitable for both beginners and professionals who want to gain a solid understanding of data science.

Participants will learn how to use various tools and techniques essential for data science, including Python, statistics, machine learning, and data visualization. The course includes practical, hands-on experience through real-world projects to apply what you’ve learned. As data science continues to grow in demand, this course can help you prepare for a future in this exciting field.

But is the Excelr Data Science Course worth it? Let’s find out!

ExcelR Data Science Course: Overview, Key Highlights, Syllabus, Skills Covered, Placement Support, Fees, Review

ExcelR Data Science Course: Overview

Course Name: Data Science Course
Duration: 6 months

Certification:

• Certificate from IIT Madras Pravartak (for training at IIT Madras)
• Certification from SGIT, Steinbeis University, Germany

Training Format:

• 15+ hours of training at IIT Madras over 2 days
• Live online classes
• Recorded sessions available on ExcelR’s Learning Management System (LMS)

Mode of Study: Online and Classroom

Excelr’s Data Science course is a 6-month program that offers both online and classroom learning options. It is designed to help beginners and professionals master data science. The course covers essential topics such as Python, R, statistics, machine learning, and data visualization. With flexible learning schedules, it allows students to study at their own pace. The course also includes real-world projects, helping participants apply their knowledge practically.

ExcelR Data Science Course: Key Highlights

Attribute	Details
Complete Curriculum	Includes Python programming, statistical analysis, machine learning, data visualization tools like Tableau, and big data technologies like Hadoop and Spark
Expert Instructors	Taught by industry experts who share practical knowledge and real-world experiences
Practical Projects	Students work on real-world projects and case studies to apply what they learn
Flexible Learning	Available online and in-person, with weekend and weekday options
Certification	Graduates receive a certificate recognized by many companies, enhancing their professional credentials

ExcelR Data Science Course: Syllabus

Module	Topics Covered
Data Science	Module 1 – Statistical Analysis Module 2 – Hypothesis Testing Module 3 – Linear And Logistic Regression Module 4 – EDA Module 5 – Unsupervised ML Algorithms Module 6 – Machine Learning Models Module 7 – Neural Network Module 8 – Bagging And Boosting Module 9 – Text Mining Module 10 – Forecasting
Core Python	Module 11 – Introduction Module 12 – Variables Module 13 – Code Practice Platform Module 14 – Operators, Loops & String Module 15 – List, Tuples, And Dictionary Module 16 – Function & Modules Module 17 – Files & Directories Module 18 – Exception Handling Module 19 – OOP Module 20 – Regular Expressions Module 21 – SQLite And MySQL
Tableau	Module 22 – Tableau Products And Usage Module 23 – Charts On Tableau Module 24 – Filters And Calculations Module 25 – Data Combining Techniques Module 26 – Grouping The Data Module 27 – Analytics & Dashboard
MySQL	Module 28 – Introduction To MySQL Module 29 – SQL Commands Module 30 – DQL Operators Module 31 – Functions Module 32 – Constraints Module 33 – Joins Module 34 – SQL Concepts
Artificial Intelligence	Module 35 – Introduction To Neural Network & Deep Learning Module 36 – Parameter & Hyperparameter Module 37 – CNN Module 38 – RNN
Big Data Tools	Module 39 – Hadoop Module 40 – Spark & Data Bricks Module 41 – Azure
Basics Of R	Module 42 – R And RStudio
ChatGPT	Module 43 – ChatGPT

ExcelR Data Science Course: Skills Covered

ExcelR Data Science Course: Placement Support

1. Resume building
2. Interview Preparation
3. Networking with top companies
4. Successful job placements

ExcelR Data Science Course: Fees

ExcelR Data Science Course Fees

For further clarification and fee concession, you can contact

• referral code– Click Here
• Contact Info– 7735361649

ExcelR Data Science Course Review

Excelr’s Data Science course is highly regarded due to its practical approach, experienced instructors, and complete syllabus. The hands-on projects and case studies give students important hands-on training that helps them move into data science careers. A further important advantage is the strong placement support.

Advantages:

1. A complete and current syllabus
2. knowledgeable and inspiring teachers
3. Adaptable educational alternatives
4. solid placement assistance

Disadvantages:

1. More expensive than some other courses
2. Even for total beginners, the course could be difficult.

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