Data Analytics
Build a future-ready career in Data Science.
Mastering Data Science Fundamentals.
Unlocking Insights with Data Analysis.
Hands-on Data Science: From Basics to Advanced.
Your Roadmap to Data Science Success.
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- 4.5/5.0
- (1,586 reviews)
- English
KEY PROGRAM HIGHLIGHTS
Why choose the Data Analytics program
Learn from top-tier institutions
Earn a prestigious certificate in Data Analytics from industry-leading faculty.
Comprehensive curriculum
Master data analysis, SQL, Python, Excel, visualization tools, and business analytics concepts.
Flexible learning schedule
Access 500+ hours of interactive content, assignments, and live sessions anytime, anywhere.
Hands-on projects & case studies
Work on real-world projects, business case studies, and data-driven decision-making simulations.
Expert mentorship
Get 1:1 mentorship from experienced analysts and industry professionals.
Career guidance & support
Receive resume reviews, mock interviews, and job placement assistance.
Course Title: Data Analytics
Course Overview: This course provides a comprehensive introduction to Data Science, covering fundamental concepts, practical techniques, and real-world applications. Students will gain hands-on experience with data analysis, visualization, and statistical modeling using popular tools such as Python, Pandas, NumPy, and Matplotlib.
Course Objectives: By the end of this course, participants will:
Understand the fundamentals of data science.
Learn how to collect, clean, and preprocess data for analysis.
Implement data visualization techniques to extract insights.
Perform statistical analysis and hypothesis testing.
Work on real-world projects to gain practical experience.
Course Modules:
Module 1: Introduction to Data Science
What is Data Science?
Applications and Use Cases
Overview of Data Science Workflow
Introduction to Python for Data Science
Module 2: Data Collection and Preprocessing
Data Collection Methods
Handling Missing Data
Data Cleaning Techniques
Feature Engineering and Selection
Module 3: Exploratory Data Analysis (EDA)
Descriptive Statistics
Data Visualization with Matplotlib and Seaborn
Identifying Patterns and Trends
Outlier Detection and Treatment
Module 4: Statistical Analysis
Probability Distributions
Hypothesis Testing
Correlation and Regression Analysis
Time Series Analysis
Module 5: Real-World Applications and Projects
Sentiment Analysis
Predictive Modeling for Business Insights
Data-Driven Decision Making
Final Project: Participants will work on a real-world dataset, applying the concepts learned throughout the course to analyze and interpret data effectively.
Prerequisites:
Basic knowledge of Python programming.
Familiarity with basic mathematics and statistics.
Who Should Enroll?
Aspiring Data Scientists and Analysts
Professionals looking to upskill in Data Science
Students and Researchers in STEM fields
Certification: Upon successful completion of the course, participants will receive a certificate in Data Science.
Enroll today to embark on your journey into the world of Data Science!
Raghav Rana
Technical Support Head
Rashi Singh
Technical Engineer
Abhijeet Sharma
Tech Associate
Our Student Reviews
4.5
(Based on todays review)
Deepak Gaurav
High-quality courses at such affordable pricing! The structured roadmap, hands-on projects, and interview preparation modules made my learning journey worthwhile. I landed a job at a top tech company.
Surinder Singh
Unlike other platforms, Coding Algos provides a highly engaging learning environment. The discussion forums, doubt-solving sessions, and 24/7 mentor support kept me motivated throughout. I highly recommend it.
Piyush Agnihotri
I love how the platform focuses on real-world coding problems. The quizzes and assignments simulate real interviews, making me feel job-ready. Coding Algos is the perfect place for anyone serious about a tech career.
Frequently Asked Questions
This course is designed for aspiring data scientists, analysts, software developers, and professionals looking to enhance their skills in data science and machine learning.
Most Data Science courses cover:
- Python/R Programming
- Statistics & Probability
- Machine Learning
- Data Visualization
- SQL & Databases
- Big Data & Cloud Computing
- Deep Learning & AI
Basic knowledge of programming (Python or R), mathematics (algebra, probability, and statistics), and databases (SQL) is helpful but not always required. Some courses cover these fundamentals.
The duration depends on the course type:
- Beginner courses: 3-6 months
- Intermediate courses: 6-12 months
- Advanced courses (with projects): 12+ months
No, but familiarity with programming (Python, R) helps. Many beginner-friendly courses teach coding basics.
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Related Package
PROGRAM OUTCOMES
Elevate your career with advanced Data Analytics skills
Become an Data Analytics Learning expert
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✔️
Lead Data Analytics innovation by mastering core Data Analytics concepts & technologies
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✔️
Build Data Analytics applications with Data Science, Power BI, Python, predictive analytics, and recommendation systems
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Secure your dream career in Data Analytics with our dedicated career support
Our Students Placed at
Fast-track Your Career
After completing Simplilearn courses, learners have made successful career transitions, boosted career growth, and got salary hikes.
Learner’s Achievements
Maximum salary hike
150%
Average salary hike
70%
Hiring partners
2900+
Our Alumni In Top Companies
14+ Skills Covered
✔ Generative AI
✔ Data Analytics with R
✔ Extract Transform and Load
✔ Linear and Logistic Regression
✔ Data Mining
✔ Prompt Engineering
✔ Data Visualization with Tableau
✔ Statistical Analysis using Excel
✔ Supervised Learning
✔ Building Data Pipelines
✔ Data Analytics using Python
✔ Business Intelligence with Power BI
✔ SQL
✔ Unsupervised Learning
23+ Tools Covered
Our learners transformed their careers
Perceived end knowledge certainly day sweetness why cordially
Deepak Gaurav
Connect
High-quality courses at such affordable pricing! The structured roadmap, hands-on projects, and interview preparation modules made my learning journey worthwhile. I landed a job at a top tech company.
Surinder Singh
Connect
Unlike other platforms, Coding Algos provides a highly engaging learning environment. The discussion forums, doubt-solving sessions, and 24/7 mentor support kept me motivated throughout. I highly recommend it.
Piyush Agnihotri
Connect
I love how the platform focuses on real-world coding problems. The quizzes and assignments simulate real interviews, making me feel job-ready. Coding Algos is the perfect place for anyone serious about a tech career.
Roshani Agarwal
Connect
Coding Algos transformed my learning journey. The structured courses, interactive coding challenges, and expert mentorship helped me gain confidence in programming. The LMS is user-friendly and makes learning smooth and engaging.
Application Process
The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by paying the admission fee.
STEP 1
📄 Submit Application
Tell us a bit about yourself and why you want to do this program.
STEP 2
📝 Application Review
An admission panel will shortlist candidates based on their application.
STEP 3
✅ Admission
Selected candidates can join the program by paying the admission fee.
Eligibility Criteria
For admission to this Data Analytics Program, candidates:
✔️ Should have a bachelor's degree with an average of 50% or higher marks.
✔️ Don’t need to have prior work experience.
✔️ Don’t need prior coding experience or technology know-how.
Master In-Demand Data Analytics Tools
Get trained with 20+ tools to enhance your data workflow, visualization, and insights generation
Python
SQL
R Programming
Pandas
Matplotlib
Tableau
Power BI
Excel