Wizard

Data Science for Working Professionals: Upskill to Excel

Take the first step to becoming an expert data scientist with the Data Science Professional Certificate. The course lets you enrich your knowledge while assuring you an internship to start your professional journey.

Modules

8 Modules

Completion Time

3 months

Lessons

85

Course Overview

Pickl.AI has focused on creating a comprehensive Data Science Professional course. As the market is getting competitive, it has become significant for professionals to pace up with the dynamics. Here comes the role of this online Data Science Course for Working Professionals. Its curriculum has been developed in tandem with the present industry trend, thus helping in upskilling professionals.

The demand for skilled Data Science professionals in India is on the rise, and there will be around 11 million new job opportunities in this domain by 2025. Hence, having the certificate in Data Science for Professionals in India would give your career a catalytic rise.

The curriculum includes concepts of Data Science, Data Visualization tools, Python, and Machine learning, along with a focus on developing job-ready skills like communication and problem-solving. By the end of the Data Science Course for Working Professionals, you will find yourself ahead of the curve.

Features

Structured, industry-relevant curriculum

Curated problem sets and quizzes

7 live case study classes on real life projects

7 live group mentorship sessions

Extensive feedback on assignments

Access to an aspirational Data Science community

Practical experience through 1 month long project

Internship certificate with TransOrg

Program Fees

₹25,000

*Price after exclusive Pickl.AI discounts. Please get in touch for further details.

Comprehensive Curriculum

Comprehensive Curriculum

The curriculum has been designed by faculty from Pickl.AI.

Modules

8 Modules

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  • Introduction to Data Analysis
  • Anatomy of Data
  • Tools for Analyzing Data - Excel
  • Tools for Analyzing Data - SQL
  • Introduction to Python
  • Basics of Python
  • In built Data Structures in Python
  • Strings
  • List and Dictionary Comprehension
  • Functions
  • Object Oriented Programming
  • Working with Files
  • Exception Handling
  • Numpy
  • Pandas
  • Visualization
  • Installation of VS Code
  • Intro to Statistics
  • Types of Variables
  • Measures of Central Tendency & Spread
  • Measuring Position
  • Histograms
  • Types of Distributions
  • Normal Distribution
  • Central Limit Theorem
  • Confidence Intervals
  • T-Distribution
  • Hypothesis Testing
  • Examples of Hypothesis Testing
  • Tutorials
  • Introduction
  • Learning process
  • EDA_FE
  • Feature Selection
  • How a Model Learns
  • Measuring Performance
  • Model Performance
  • Bias-Variance
  • Visualization
  • Feature Engg Demo
  • Feature Scaling
  • Introduction to Linear Regression
  • Model Training - Linear Regression
  • Model evaluation - Linear Regression
  • Regularisation - Linear Regression
  • Assumptions of Linear Regression
  • Locally weighted Linear Regression
  • Demonstration - Linear Regression
  • Introduction to Logistic Regression
  • Model Training - Logistic Regression
  • Model Evaluation - Logistic Regression
  • Demonstration - Logistic Regression
  • Multiclass Classification
  • Intro to Decision Trees
  • Classification Trees
  • Bagging
  • Boosting
  • K-means Clustering
  • Demo-K-Means
  • Hierarchial Clustering
  • Association rule mining
  • Demo-Association Rule Mining
  • Recommendation Systems
  • Get Set with Tableau
  • Basics of Tableau
  • Serving your visualizations
  • Essential Charts and Your First Dashboard
  • Sets, groups and clusters
  • Data Analysis and Forecasting
  • Advanced concepts and moving forward

Frequently Asked Questions

You can either reach out to our counsellor immediately or schedule a session with our expert data scientist who will address your concerns and guide you accordingly.
Yes, you can access the demo videos by clicking ‘Try for Free’, additionally you can also check out our free course.
The course is taught by industry veterans who have been in the Data Science field for a long time and understand the field well enough to teach the same.
You may choose to pay directly on the website through Debit/Credit cards and Internet banking, and you will receive immediate access to the course. In addition, we also provide E-wallet options and direct UPI transfers. If you face any issues, please write to us at care@pickl.ai.
Once you enroll in the course which includes mentorship, you will receive a mail regarding your availability for the mentorship session, post the first call, your mentor will be in touch with you to schedule further sessions as per your availability.
(Note : This is applicable to Apprentice, Wizard, Radicl and Radicl Pro)
If you don’t like the course, write to us at care@pickl.ai, and we’ll try our best to resolve the issue.
Yes, you will get a certificate once you have fulfilled all the requirements of the course successfully.
All our courses are intended at transforming students into industry ready data scientists, however we do not take guarantee of the same. We provide interview training in the Wizard variant of the course and try our best to land you an amazing job, but don’t guarantee the same.
Whether you are a working professional, or a fresher, with the Data Science Professional certificate, you will gain insight into the concepts of Data Science along with its practical implication. The eventual focus of such courses is to help you move up the trajectory of growth. With Pickl.AI’s Advanced Data Science Program, you will get well-versed in the concepts of Data Science and the new developments in this domain. All this will trigger a move towards professional excellence.

Pickl.AI has a host of Data Science Courses, so based on your skills and expertise, you can choose the best option. However, the platform requires you to clear a quiz followed by an interview conducted by a panel of Data science professionals. Only after qualifying these steps one can start their Data Science learning journey with Pickl.AI.

Additionally, having expertise in concepts of mathematics, statistics and programming language will make learning easier and simplified.

The average salary of a Data Science professional in India ranges between ₹ 3.8 Lakhs to ₹ 26.0 Lakhs, with an average annual salary of ₹ 10.0 Lakhs.

Our Data Science and Machine Learning stalwarts

  • High School Student

  • Non Tech Enthusiast

  • Graduate Engineer

  • MBA Professional

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