Simplilearn Data Science Course Review: Is This Everything You Need to Know?

Simplilearn Data Science Course Review…Simplilearn Data Science Course Review: Is This Everything You Need to Know?

Simplilearn’s Data Science Course is designed to help individuals master data science essentials and secure jobs in this rapidly growing field. Tailored for both beginners and professionals, this course covers everything from the basics to advanced concepts in data science.

Simplilearn Data Science Course: Overview, Key Highlights, Syllabus, Skills Covered, Fees, Review

Simplilearn Data Science Course Overview

Students will learn to work with various tools and software commonly used in the industry, including Python, SQL, Machine Learning, and Tableau. The course is structured to provide practical, hands-on experience through real-world projects and case studies. With the booming demand for data scientists, this course aims to prepare you for the future.

But is it worth it? Let’s dive into the details to find out.

Simplilearn Data Science Course Key Highlights

Key Highlights	Description
IBM Advantage	Access hackathons, masterclasses, and AMA sessions. Earn IBM certificates for IBM courses.
Generative AI Edge	Live sessions on the latest AI trends, generative AI tools, prompt engineering, and more.
Applied Learning	Capstone and 25+ industry-relevant data science projects ensure comprehensive learning.
Top-notch Data Science Curriculum	Comprehensive data science curriculum with live online classes by industry experts.

Simplilearn Data Science Course Syllabus

Module	Topics Covered
Programming Essentials	– Python Basics: Setting up Python, using Jupyter Notebook, understanding data types, operators, and string functions. – Procedural Programming: Loops, conditionals, and functions. – Object-Oriented Programming (OOP): Classes, objects, methods, attributes, and access modifiers.
SQL Certification Course	– Basics of SQL: Queries, joins, subqueries, and data manipulation. – Advanced SQL: Stored procedures, triggers, and performance optimization.
Python for Data Science by IBM	– Data Science Libraries: NumPy, Pandas, and SciPy. – Data Manipulation and Analysis: Handling data frames, statistical analysis, and data visualization.
Applied Data Science with Python	– Data Analysis: Exploratory data analysis, descriptive and inferential statistics. – Machine Learning: Supervised and unsupervised learning, linear and logistic regression, clustering, and dimensionality reduction.
Machine Learning using Python	– ML Models: Regression models, classification techniques, K-NN, and decision trees. – Model Evaluation: Cross-validation, hyperparameter tuning, and model performance metrics.
Tableau Desktop Specialist Certification Training	– Data Visualization: Creating interactive dashboards, data blending, and advanced chart types. – Tableau Features: Calculated fields, parameters, and sets.
Data Scientist Capstone	– Capstone Projects: Apply all learned concepts in a comprehensive project. Choose from domains like sales, employee performance, and crime analysis.
Electives	– R Programming for Data Science: Basics of R, data manipulation, and statistical modeling. – Business Analytics with Excel: Excel functions for data analysis, pivot tables, and data visualization. – PL-300 Microsoft Power BI Certification Training: Data modeling, DAX, and creating reports and dashboards. – Essentials of Generative AI, Prompt Engineering & ChatGPT: Techniques in generative AI, prompt engineering, and applications of ChatGPT. – PGP DS – Industry Masterclass by IBM: Advanced topics and case studies presented by IBM experts.
Career Support	– JobAssist Program: Resume building, interview preparation, and job placement assistance through IIMJobs. – Hackathons and AMA Sessions: Participate in exclusive events and ask-me-anything sessions with industry leaders.
Learning Path	1. Start with foundational courses: Programming Essentials, SQL, and Python for Data Science. 2. Advance to Applied Data Science: Machine learning, data analysis, and visualization. 3. Complete elective courses: Choose from R, Power BI, Excel, or advanced AI topics. 4. Finish with Capstone Project: Apply all your skills in a real-world project.
Tools Covered	– Programming: Python, R, SQL. – Libraries: NumPy, Pandas, SciPy. – Visualization: Tableau, Power BI. – Generative AI: ChatGPT, Dalle.2. – Others: MySQL, Microsoft Excel.

Simplilearn Data Science Course Skills Covered

Simplilearn Data Science Course Fees

The course costs ₹57,000 (including taxes), with financing options starting at ₹4,750 per month.

Simplilearn Data Science Course Fees

For further clarification and fee concession, you can contact

• Simplilearn referral code– Click Here
• Contact Info– 7735361649

Simplilearn Data Science Course Review

The Data Science Course at Simplilearn provides a thorough curriculum together with real-world projects and industry-recognized certifications. A complete education for aspiring data scientists, it offers substantial value with IBM masterclasses and certifications. Given the various financing options, the course tuition is affordable, and the JobAssist program offers helpful job placement assistance.

Is it worth it then? Simplilearn’s Data Science Course looks like a good investment for your career in data science based on the course structure, content, and extra benefits.

ALSO READ: Learnbay Data Analytics Course Review, Reality