Become a Certified

Data Scientist

Data Science is the most in-demand job in the market. This course, designed for both students with and without coding experience, makes you a well-rounded data nerd, ready to be hired by top MNCs.

What You’ll Learn

1MODULE 1: PYTHON FOR DATA ANALYSIS

Get a basic overview of Jupyter Notebook and its components; and learn about the three most popular Python libraries: Numpy, Pandas and matplotlib.

  • 1.Environment Set-up
  • 2.Jupyter Overview
  • 3.Python Numpy
  • 4.Python Pandas
  • 5.Python Matplotlib

2MODULE 2: INTRO TO STATISTICS

Statistics is an essential skill required to master data science. This module will introduce you to the most important statistics concepts that are used in data science.

  • 1.Difference between a population and a sample
  • 2.Types of variables
  • 3.Measures of Central Tendency
  • 4.Measures of Variability
  • 5.Coefficient of variance
  • 6.Skewness and Kurtosis

3MODULE 3: : INFERENTIAL STATISTICS

Inferential statistics is a main branch of statistics. It allows you to make informed decisions based on the analysis of a representative sample of large data sets.

  • 1.Normal Distribution
  • 2.Central Limit theorem
  • 3.Confidence Interval
  • 4.Student's T distribution
  • 5.Test hypotheses
  • 6.Type I and Type II errors
  • 7.T-test

4MODULE 4: REGRESSION AND ANOVA

Learn about a powerful statistical method that allows you to establish the relationship between two or more objects of interest. Also learn about analysis of variance (ANOVA), which helps you analyse the diffences among sample sets.

  • 1. Regression
  • 2. Anova
  • 3. Correlation and Causation
  • 4. R square
  • 5.Adjusted R square

5MODULE 5: EXPLORATORY DATA ANALYSIS

Learn how to use visual methods to analyse data sets to summarize their main characteristics. See data beyond formal modeling or hypothesis testing

  • 1. Intro to Exploratory Data Analysis
  • 2. Derive insights of Data with python pandas
  • 3. Missing value analysis
  • 4. Outlier detection analysis
  • 5. The correlation matrix

6MODULE 6: SUPERVISED MACHINE LEARNING

Learn how to use visual methods to analyse data sets to summarize their main characteristics. See data beyond formal modeling or hypothesis testing

  • 1. Intro to Supervised Machine Learning
  • 2. Linear Regression with an example using python sci-kit learn module
  • 3. Logistic Regression with an example using python sci-kit learn module
  • 4. Naïve Bayes method and an example using python sci-kit learn module
  • 5. Decision Tree classifier and an example using python sci-kit learn module
  • 6. Random forest classifier and an example using python sci-kit learn module
  • 7. Support vector machine (SVM) and an example using python sci-kit learn module
  • 8. Intro to Neural network

You'll earn a well-deserved certificate.

Course Highlight

1-to-1 mentoring

We will assign you a mentor to guide you throughout the course and push you towards completing your lessons and projects on time.

Post-Course Support

Get the help to build your resume, do mock interviews and attract job interviews in well-known companies around you.

Project Based Learning

Master the new tech skills through hands-on labs, mini projects and capstone project.

Frequently Asked Questions (FAQ's)

With data-driven decision-making a norm, there is a huge market for data scientists. But most of them require specialization or a graduate degree. Data science is becoming increasingly popular as they help organizations make smarter decisions after having analyzed the existing data.

There is a great demand for data scientists all over the world. Business is moving towards making decisions that are data-driven. data science has been one of the best jobs for the past few years. A lot more job opportunities are opening up and are expected to be trending technology in 2020. Evolving technology and innovation in big data, machine learning and artificial intelligence is only contributing to the ever-increasing demand for data scientists. Around 11M plus jobs are expected to be available in the US alone by 2026. So gear up and take a data science course online.

Help make smarter decisions by analyzing the data. Expansion of data with third-party resources whenever necessary. Apply the latest data mining technique. Build a prediction system and integrate it with the product. Create and optimize anomaly detection system. Process and verify the integrity of the data that is analyzed.

Other than programming language skills, you need to have a degree or certification: Unlike other job profiles, data science requires a higher level of education and certification. You can obtain certification by signing up for an online course in data science. You can train to become a data scientist through an online course rather than going for a full-fledged higher education. Learn to use frameworks based on these languages like Hadoop and Apache Spark. To stand apart from the other candidates learn machine learning and AI technologies. Learn natural language processing, neural networks, computer vision and more.

The average salary of data scientists in India is Rs.7,06,000/- according to PayScale and Glassdoor. Depending upon the location, skillset, degree, experience, and certification, the salary will be increased from the base salary.

To become a data scientist, you need to know at least one programming language. But, learning more and more languages and tools will only make you a more appealing candidate for various companies. You can learn the languages through an online course on Data science.