Palin Analytics : #1 Training institute for Data Science & Machine Learning



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Data Science Using R

Data Science is an art of making data driven decisions. To make that data driven decision it uses scientific methods, processes, algorithms to extract knowledge and insights from data. It is used for examining, cleaning, manipulating, transforming and generating information from the data. Palin Analytics commence one of the data science using r training in gurgaon and delhi ncr. Now a days in Business world data analytics plays a vital role to form decisions more scientifically and help to increase operational efficiency. 

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₹45,000.00

₹25000.00

 

Upcoming Batch !!!

Starting from Upcoming Sunday

2:00 pm

You Save Rs. 35500/-

  • 90 Hours Online Classroom Sessions
  • 11 Module 04 Projects 5 MCQ Test
  • 6 Months Complete Access
  • Access on Mobile and laptop
  • Certificate of completion

65,000 Students Enrolled

What we will learn

R is widely used in the data science community and is especially popular among statisticians and data analysts. Learning R can open up opportunities to collaborate and work with professionals in these fields. Top skill in demand now a days is to process raw data into business insights. There is no special programming language dedicated to data science but looking at the exciting features of the R language you can make your mind. 

In this course we will learn R a vast ecosystem of packages and libraries for data manipulation, visualization, statistical analysis, and machine learning. This makes it a powerful tool for data scientists to work with various types of data and perform complex analyses.

By the end of this you will be able to extract, read and write data from csv files, data cleansing, data manipulation,  data visualization, run inferential statistics, understand the business problems, based on problems you will be able to select and apply machine learning models and deploy it.

Who can go for this

Data Science is meant for all and everyone should go for this, learn to play with data and grasping required skills isn’t just valuable, its essential now.  Does not matter from which field you – economics, computer science, chemical, electrical, are statistics, mathematics, operations you will have to learn this.

Want to discuss your roadmap to be a Data Scientist?

Are you interested in pursuing a career as a data scientist, it’s essential to create a roadmap that outlines the key steps and milestones along the way. Join us for an inspiring conversation where we will deep dive into your own journey and discuss the clear cut roadmap to become a data scientist. Let’s start the journey to be a data scientist in the exciting world of data science together!

Advantages

Countless Batch Access

Learn from anywhere

Industry Endorsed Curriculum

Industry Expret Trainers

Career Transition Guidance

Interview Preparation Techniques

Shareable Certificate

Real-Time Projects

Class recordings

Course Mentor

Vipin Kumar

Hi I am Vipin and I am super excited that you are reading this.

Professionally, I am a data science management consultant with over 8+ years of experience in Banking, Capital Market, CCT, Media and other industry.

I hope this message finds you well. I am excited to invite you to join our upcoming “Data Science Using R” course, where you will embark on a journey to unlock the power of data and gain valuable skills in data analysis and visualization.

In this course, you will learn how to use the R programming language to manipulate, visualize, and analyze data. Whether you are a beginner looking to start your data science journey or an experienced data professional seeking to enhance your skills, this course is designed to meet your needs.

Course Content

LESSONS LECTURES DURATION

This curriculum is designed to provide a comprehensive introduction to data science concepts and techniques using the R programming language. The course is structured to cover key topics in data science, including data manipulation, visualization, statistical analysis, and machine learning.

Week 1: Introduction to R Programming
Introduction to R and RStudio
Basics of R programming (variables, data types, functions)
Data structures in R (vectors, matrices, data frames, lists)

Week 2: Data Import and Export
Importing data from different sources (CSV, Excel, databases)
Exporting data to different formats
Data cleaning and preprocessing techniques

Week 3: Data Visualization with ggplot2
Introduction to data visualization principles
Creating basic plots (scatter plots, bar plots, histograms)
Customizing plots using ggplot2

Week 4: Exploratory Data Analysis (EDA)
Understanding the structure of data
Summarizing data (mean, median, standard deviation)
Visualizing relationships between variables

Week 5: Statistical Analysis with R
Introduction to statistical inference
Hypothesis testing (t-tests, ANOVA)
Correlation and regression analysis

Week 6: Machine Learning Basics
Introduction to machine learning concepts
Supervised learning (classification, regression)
Unsupervised learning (clustering, dimensionality reduction)

Week 7: Machine Learning with R
Using R for machine learning tasks
Implementing machine learning algorithms (decision trees, random forests, k-means clustering)
Model evaluation and validation

Week 8: Final Project
Applying data science techniques learned in the course to a real-world dataset
Presenting findings and insights from the project

TOTAL28 LECTURES84:20:00

What Our Students Say About Us

Vishal KumarVishal Kumar
09:41 15 Dec 23
Palin Analytics provides excellent support and resources throughout the Data Science Training. From comprehensive study materials to a responsive support team, I always felt well-equipped to tackle each module. The platform was user-friendly, enhancing the overall learning experience. I enrolled in Data Science course in Gurgaon location, my overall experience was awesome.
ramprakash kushwaharamprakash kushwaha
09:37 15 Dec 23
Palin Analytics’ Data Science training is a fantastic choice for anyone looking to enter or advance in the field. The comprehensive curriculum, coupled with expert instruction and practical applications, equips participants with the skills needed in today’s data-driven world. I highly recommend Palin Analytics Gurgaon for anyone serious about pursuing a career in Data Science.
Bijendra SinghBijendra Singh
09:32 15 Dec 23
I highly recommend Palin Analytics for anyone seeking top-notch data engineering training in gurgaon location. The dedication to providing quality education is evident throughout the program. The instructors at Palin Analytics are true industry experts. Their deep understanding of data engineering, coupled with their passion for teaching, creates an engaging and enriching learning experience. They are not just instructors but mentors who guide you every step of the way.The interactive nature of the classes fosters an environment of collaboration and knowledge sharing. The peer-to-peer interactions, group discussions, and collaborative projects added immense value to the learning process. It truly feels like a community of learners all striving for excellence.
Neha KashyapNeha Kashyap
08:37 15 Dec 23
The course content was exceptionally well-structured, covering all essential aspects of SAP FICO training in gurugram. From fundamentals to advanced topics, each module was presented with clarity and depth, making complex concepts easy to grasp. The hands-on exercises and real-world scenarios further enhanced my understanding.
MaddyMaddy
16:53 25 Nov 23
I am thrilled to share my profound satisfaction with the Data Engineering training program at Palin Analytics. This experience has been nothing short of exceptional, and I am genuinely grateful for the depth of knowledge and skills I’ve gained.Palin Analytics has crafted a curriculum that not only covers the fundamentals of data engineering but delves into advanced topics, ensuring a comprehensive understanding of the field. The inclusion of emerging technologies and industry-relevant tools demonstrates a commitment to staying at the forefront of the rapidly evolving data landscape.
KAVITA karnKAVITA karn
07:01 25 Nov 23
Palin Analytics goes beyond just providing education; they facilitate networking opportunities within the data engineering community. The connections I’ve made with fellow learners and industry professionals have been invaluable, opening doors to new insights and potential collaborations.As a result of this program, I feel confident in my ability to tackle complex data engineering challenges in a professional setting. The practical skills gained are directly applicable, and I can see the immediate impact on my work.
Manish KumarManish Kumar
06:48 25 Nov 23
I recently completed the Data Engineering training program with Palin Analytics, and I cannot express how impressed I am with the quality of the course and the expertise of the instructors.The course covers a wide range of topics, providing a thorough understanding of data engineering concepts and tools.Palin Analytics has built a supportive community of learners. The peer interactions and networking opportunities were enriching.I highly recommend Palin Analytics for anyone seeking top-notch data engineering training. The dedication to providing quality education is evident throughout the program.
Vardhaman KanodiaVardhaman Kanodia
06:27 25 Nov 23
I recently had the privilege of completing the Data Engineering training program at Palin Analytics, and the journey has been nothing short of transformative.The course content is exceptionally well-structured, covering a comprehensive range of data engineering principles and cutting-edge technologies. From foundational concepts to advanced techniques, the curriculum is designed to provide a holistic understanding of the field.What sets Palin Analytics apart is their commitment to practical application. The hands-on projects were instrumental in solidifying theoretical knowledge, and the real-world scenarios presented challenged me to think critically and creatively. The emphasis on practical skills ensures that graduates are not only knowledgeable but also industry-ready.
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Palin Analytics

We are dedicated to empowering professionals as well as freshers with the skills and knowledge which is needed to upgrade in the field of Data Science. Whether you’re a beginner or a professional, our structured training programs are well designed to handle all levels of expertise.

Are you ready to explore your Data Science adventure? Watch a live recorded demo video now and discover the endless possibilities way of teaching, way of handling queries. Awaiting for you at Palin Analytics!

Student feedback

4.5 OUT OF 5
4.1/5

Deepika

5/5
1 year ago

Kushal is a good instructor for Data science. He cover all real world projects. He provided very good study materials and high support provided by him for interview prepration. Overall best online course for Data Science. 

Deepak Jaiswal

5/5
1 year ago

This is a very good place to jump start on your focus area. I wanted to learn python with a focus on data science and i choose this online course. Kushal who is the faculty, is an accomplished and learned professional. He is a very good trainer. This is a very rare combination to find. 

Instructor

Thank you Deepak…

Add Reviews about your experience with us.

FAQ's

Data Science is an art of making data driven decisions. To make that data driven decision it uses scientific methods, processes, algorithms to extract knowledge and insights from data. Data science is related to data mining, Data Wrangling, machine learning and data visualization.

Data Science includes different processes like data gathering, data wrangling, data preprocessing, statistics, data visualization, machine learning. The mandate steps are Data preprocessing -> Data Visualization -> Exploratory Data Analysis ->Machine Learning -> Predictive Analysis

Along with the high quality training you will get a chance to work on real time projects as well, with a proven record of high placement support.  We Provide one of the best online data science course.

Its  Live interactive training, Ask your quesries on the go, no need to wait for doubt clearing.

you will have access to all the recordings, you can go through the recording as many times as you want.

During the training and after as well we will be on  the same slack channel, where trainer and admin team will share study material, data, project, assignment.

Data analytics is the process of analyzing, interpreting, and gaining insights from data. It involves the use of statistical and computational methods to discover patterns, trends, and relationships in data sets.

Data analytics involves a variety of techniques, such as data mining, machine learning, and data visualization. Data mining is the process of discovering patterns and relationships in large data sets, while machine learning is a type of artificial intelligence that enables computer systems to learn from data and improve their performance over time. Data visualization is the process of presenting data in a visual format, such as charts and graphs, to help people understand complex data sets.

The goal of data analytics is to turn data into insights that can be used to make informed decisions. This can involve identifying opportunities for business growth, improving operational efficiency, or predicting future trends and outcomes. Data analytics is used in many industries, including finance, healthcare, marketing, and government, to name a few.

In summary, data analytics is the process of analyzing data to gain insights and make informed decisions. It involves a range of techniques and tools to extract valuable information from data sets.

 
 
 

There are many companies that offer internships in data analytics. Some of the well-known companies that provide internships in data analytics are:

  1. Google: Google offers data analytics internships where you get to work on real-world data analysis projects and gain hands-on experience.

  2. Microsoft: Microsoft provides internships in data analytics where you can learn about big data and machine learning.

  3. Amazon: Amazon offers data analytics internships where you can learn how to analyze large datasets and use data to make business decisions.

  4. IBM: IBM provides internships in data analytics where you can work on real-world projects and learn about data visualization, machine learning, and predictive modeling.

  5. Deloitte: Deloitte offers internships in data analytics where you can gain experience in areas such as data analytics strategy, data governance, and data management.

  6. PwC: PwC provides internships in data analytics where you can learn how to analyze data to identify trends, insights, and opportunities.

  7. Accenture: Accenture offers internships in data analytics where you can work on projects related to data analytics, data management, and data visualization.

  8. Facebook: Facebook provides internships in data analytics where you can gain experience in areas such as data modeling, data visualization, and data analysis.

These are just a few examples of companies that provide internships in data analytics. You can also search for internships in data analytics on job boards, company websites, and LinkedIn.

SQL (Structured Query Language) is a popular language used for managing and manipulating relational databases. The difficulty of learning SQL depends on your previous experience with programming, databases, and the complexity of the queries you want to create. Here are a few factors that can affect the difficulty of learning SQL:

  1. Prior programming experience: If you have experience with other programming languages, you may find it easier to learn SQL as it shares some similarities with other languages. However, if you are new to programming, it may take you longer to grasp the concepts.

  2. Familiarity with databases: If you are familiar with databases and data modeling concepts, you may find it easier to understand SQL queries. However, if you are new to databases, you may need to spend some time learning the basics.

  3. Complexity of queries: SQL queries can range from simple SELECT statements to complex joins, subqueries, and window functions. The complexity of the queries you want to create can affect how difficult it is to learn SQL.

Overall, SQL is considered to be one of the easier programming languages to learn. It has a straightforward syntax and many resources available for learning, such as online courses, tutorials, and documentation. With some dedication and practice, most people can learn the basics of SQL in a relatively short amount of time.

you can write your questions at info@palin.co.in we will address your questions there.

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