Did you know that in 2019, 2.9 million data science jobs were created? According to the U.S. Bureau of Labour Statistics, 11.5 million new data science jobs will be available by 2026. Much like any other online course, data science online classes have seen a whooping increase in the intake of students and working professionals who want to make a career in this demanding field.  Due to COVID 19 pandemic, there has been a spike in online classes. And there’s no better time than now for you to grab your online course on data science and get certified.

This will help you start your job hunt once the situation becomes normal.  When you begin your online data science classes, you must check out the data science course syllabus. Crampete’s data science content offers you comprehensive modules that you need to learn to become job ready.  

Crampete’s data science Course syllabus

Check out the details of the data science course offered by Crampete. We offer one of the best data science resources that you will ever find online. The course gives you an introduction to the basics of a data science career. Besides, it covers the six data science modules –

  1. Python for data analysis
  2. Intro to statistics
  3. Inferential statistics
  4. Regression and Anova
  5. Exploratory data analysis
  6. Supervised machine learning

This is a certified course and guarantees 100% placement. Learners including freshers, computer science or other engineering graduates, and working professionals from companies like TATA, HP, and Ford take up Crampete’s data science online course and learn advanced concepts designed in this comprehensive data science course syllabus.  This course is also open to beginners without any prior knowledge of data science or coding experience.  Crampete’s data science online lessons are a complete road map for you to prepare yourself for  a great career. 

About the course

The online course on data science offered by Crampete is a one-stop shop for all your data science learning needs. It offers you complete guidance and tutorial with downloadable resources and hands-on learning experience. The total duration of the course is 125 hours, and it can be attended from any location. There are over 200 videos and 100 quizzes to help you develop knowledge about the domain. 

This course takes you through all the important modules that you need to know about, including machine learning and programming languages. It also teaches important concepts such as data acquisition, data mining, data processing, and data analysis. 

This course is designed keeping in mind the current industry trends and skills required to become a successful data scientist. When you enroll for this course, you will receive one-to-one support from our instructors and practical-based learning experience. In this course, you will also receive  complete support on how to go about job interviews and placements. Over 2000 students have benefited from our online data science course. Let’s see what some of our students have said about the course.

What is Data Science? An Introduction

The term data science was coined at the beginning of the 21st century, and it is a fairly young field of science and technology. Over the past few decades, data science has increasingly become popular all over the world. It has become the part and parcel of every business model.  All forms of data run the world, be it personal data, website data, or behavioural data. With more and more number of Internet of Things being invented, we have shifted our focus to concepts like big data and data mining.

Companies have started to capitalize on big data, which controls the way people think and act.  Data science has created a widespread impact across various sectors. In areas like healthcare, education, security, sports, energy, and science, the application of data science has created a lot of opportunities for innovation and improvement. Scientific studies rely on data sets to measure and anlalyze scientific goals, for example, healthcare recommendations, identifying and predicting diseases, personalized healthcare support via AI and machine learning, etc.

Data science course syllabus – for every aspiring data scientist!

Data science syllabus offered by Crampete

Crampete’s data science syllabus includes a comprehensive curriculum, which is designed on the basis of what most industries want from data science professionals. The data science syllabus is suitable for beginners, working professionals, or someone who wants to switch over to a career in data science.  There are six key modules [as mentioned earlier], which are further divided into nine lessons. These lessons cover a wide range of subjects – programming language, statistical tools, algorithms, and machine learning –

Module 1: Python

Python is the most important and necessary topic that every data scientist should have knowledge about. In this section, our instructors will take you through the basics of Python and areas where it can be used. You will learn how to use some of the current tools such as Numpy, Pandas, and Matplotlib. Therefore, modeule 1 includes –

  • Environment set-up
  • Jupyter overview
  • Python Numpy
  • Python Pandas
  • Python Matplotlib

Module 2: R

Used for statistical and data analysis, R programming language is one of the advanced statistical languages used in data science. This module teaches you how to explore data sets using R. Here you will learn –

  • An introduction to R
  • Data structures in R
  • Data visualization with R
  • Data analysis with R

Module 3: Statistics

When working with data, the knowledge of statistics is necessary and an imprtant skill set that you must have. In this module, you will learn –

  • Important statistical concepts used in data science
  • Difference between population and sample
  • Types of variables
  • Measures of central tendency
  • Measures of variability
  • Coefficient of variance
  • Skewness and Kurtosis

Module 4: Inferential statistics

Inferential statistics is used to make generalizations of populations, from which samples are drawn. This is a new branch of statistics, which helps you learn to analyze representative samples of large data sets. In this module, you will learn –

  • Normal distribution
  • Test hypotheses
  • Central limit theorem
  • Confidence interval
  • T-test
  • Type I and II errors
  • Student’s T distribution

Module 5: Regression and Anova

This lesson will help you understand how to establish a relationship between two or more objects. ANOVA or analysis of variance is used to analyze the differences among sample sets. Here you will learn –

  • Regression
  • R square
  • Correlation and causation
  1. Module 6: Exploratory data analysis

In this lesson you will learn –

  • Data visualization
  • Missing value analysis
  • The correction matrix
  • Outlier detection analysis

Module 7: Supervised machine learning

This is a comprehensive module to help you understand how to make machines or computers interpret human language. You will learn –

  • Python Scikit tool
  • Neural networks
  • Support vector machine
  • Logistic and linear regression
  • Decision tee classifier

Module 8: Tableau

Tableau is a sophisticated business intelligence tool used for data visualization. In this lesson, you will learn –

  • Working with Tableau
  • Deep diving with data and connection
  • Creating charts
  • Mapping data in Tableau
  • Dashboards and stories

Module 9: Machine learning on cloud

In this lesson, you will learn –

  • ML on cloud platform
  • ML on AWS
  • ML on Microsoft Azure

Each of these lessons are taught by instructors who have years of experience and knowledge of data science and analytics. We guarantee you one-to-one mentoring, and also support you with assessments and interviews towards the end of the session

Data Science Skills you will master from this course

Besides data science skills, this  course enables freshers and professionals to develop analytical and leadership skills. Additional skills that you will gain from this online course are –

  1. Learn new programming languages
  2. Learn to use frameworks based on tools like Hadoop and Apache Spark 
  3. Learn about NLP and neural networks
  4. Gain hands-on experience on AI and machine learning tools
  5. Know all about python and various forms of tools used in programming language, such Python Numpy and Pandas.
  6. Learn how to use statistical models
  7. Know about exploratory data analysis and learn to measure and analyze data sets using visual patterns. 
  8. Obtain one-to-one experience from instructors on supervised machine learning algorithms
  9. Develop leadership skills and understand how to make business decisions
  10. Understand data analytics and metrics important for any business
  11. Improve communication ability and become more confident
  12. Critical thinking and decision-making skills

Data science course syllabus pdf

Data science course syllabus pdf

Tools used to cover Data Science topics in our course

Data scientists require certain software tools for data operations. These tools are mostly statistical tools and programming languages used for data processing and analysis.  Some of the tools used in Crampete’s data science course are –

  1. Jupyter
  2. Python Pandas
  3. Python Numpy
  4. Python Matplotlib
  5. Statistical tools like T-test and ANOVA
  6. SAS
  7. Exploratoty data analysis tools like Apache Spark, Tableau, etc.
  8. Excel
  9. Machine learning tools
  10. Python Ski-kit tool
  11. Software to learn about neural networks and fuzzy logic
  12. Matural Language Toolkit (NLTK), which are used by computers to interpret human languages. 

Comparison of Crampete vs. other data science course syllabus

Crampete data science syllabus vs. IIT data science syllabus

If you want to study data science in India in any of the reputed institutions, then you can look for MS or M.Tech programmes offered by institutes such as IIT hyderabad, IIT Roorkee, and BITS Pilani.  Most of these institutes offer admission based on merit and your work experience. Also, these institutes offer a minimum of 1-year programme; therefore, the course fee increases with the duration of programme that you choose to study. In addition to all this, some of these institutes have certain eligibility criteria, which makes it difficult for professionals and students from other different backgrounds to take up data science courses with these institutes.   Also, the syllabus offered by these institutes is quite similar to what we offer on Crampete. Crampete focuses on essential topics like deep learning, Python, Apache Spark and other tools, and Big data. However, an IIT data science course might have additional topics because of the longer duration of programme, such as data structures and algorithms, computer organization, operating systems, machine learning tolls, and so on.

Crampete data science syllabus vs. MSc data science syllabus offered by various universities 

If you wish to study masters in data science in any Indian universities and colleges, you will have to invest minimum 5 years. Other options open to you include diploma, integrated masters, bachelors, or certification courses in data science and analytics.  Most of the private and public universities and colleges offering data science and data analytics masters courses have comprehensive syllabi, which include the following:

  • Knowledge of computer science and mathematics
  • Modelling and abstract thinking
  • Advanced theories
  • Software tools
  • Project management
  • Communication skills

In addition, most of the courses have certain eligibility criteria for admissions, and the course fee ranges anywhere between INR 1.7 and 3.5 LPA.  [Did you know that institutes like Loyola College and Anna University in Chennai offer good quality courses in data science?]

Crampete data science syllabus vs. Udemy data science course syllabus

Udemy offers several intensive data science courses, such as deep learning, python, statistics, Tableau, data analytics, etc. Each of these modules are further divided into different sections with assessments. This means you have to pay for each of the sections that you want to study online. Udemy’s ‘complete data science bootcamp course’ gives you an introduction of various data science disciplines and their benefits, popular data science tools and techniques, and careers in data science.

Crampete data science syllabus vs. other online data science syllabus

If you are looking for advanced data science courses, you can check out Simplilearn’s data science course in collaboration with IBM. In this course you will learn to use necessary tools and gain an industry-recognized certificate. The course fee starts from INR 50,000.  Likewise, other online learning platforms like UpGrad and Edureka, Intellipat offer simultaneous courses on data science and data analytics with masters and Pg diploma programmes. At UpGrad, you will find 12-month masters and Pg diploma programmes in data science in collaboration with the International Institute of Information Technology [IIIT] Bangalore. 

What are the important areas in data science?

Data science is a vast field, and it offers a sea of opportunities for anyone who is interested to study. But, data science is not limited to the science of understanding the types of data available. There are several other components that you must understand if you want to be a data expert.  The other equally challenging and important modules in data science include –

  1. Data engineering
  2. Big data engineering
  3. Data analytics
  4. Database management
  5. Data mining
  6. Machine learning or cognitive computing
  7. Data visualization, and so on. 

The above-mentioned subjects should be part of every data science lesson that you are looking forward to go through. 

Data science with python syllabus

Python is the most commonly used programming language in data science. Data professionals all over the world must understand the fundamentals of Python and Python libraries to learn advanced data science and data analysis techniques.   With Crampete, you can learn about Python fundamentals used in data science. Our course will help you jumpstart your career by providing you the required skillsets.  Our data science with Python syllabus comprises environmental set-up and the core software tools used such as Jupyter, Numpy, Pandas, and Matplotlib. 

What are the prerequisites for data science course?

There is no pre-defined eligibility to be a data scientist. People from various disciplines can choose data science as a career option. But, if you have qualifications like an engineering degree in computer science, electronics, or IT, it will be easy for you to understand many concepts that are part of the course.  Also, a certification or degree in data science, data analytics, or AI always gives an edge over others who do not have either of it. On the other hand, a data science certification can also open up opportunity for many beginners in this field. 

Duration and fee for data science course

The duration of the course depends on your pace of learning. Normally, most online data science courses last for 20 weeks. On Crampete, the total duration of the data science course is 125 hours.  The course fee depends on the duration and medium of instruction. On average an online course on data science comes with a price tag of INR 20,000 and 50,000; the fee can increase based on the provider and duration of study. Crampete’s data science course will cost you just INR 25,000. 

Recommended institutes to study data science

Crampete is the best place to learn Data Science. But for some reasons if you are looking for other institutes to study online data science courses, you can look into the following. Coursera, Simplilearn, Edureka, and Intellipat. Many private and public colleges have shifted to the online medium of delivering courses.

Therefore, you must keep an eye on your nearest institutes offering full-time and weekend online data science programmes. Want to know if  the Data Science career is suitable for you? Want to know our placement assistance and data science course details?  call us at +91 93840 58984 and talk to our data science course manager.