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Certificate Course in Data Science using Python

Build a Data Science Career Through Advanced Analytics in Python!

Class Room Training on Data Science using Python

This course will address the rising demand for trained and qualified resources in Data Science to support the Advanced Analytics, Strategy planning and monitoring teams to process the high volume Business data and make it useful in effective and structured manner. This also covers the tools and techniques one could possess to become a Data Scientist with Python Programming skills.

A Man Working with Tools to depict that Hands-on Classes are Provided with Data Science with Python Course at Study Analytics
Hands-On Classes
Data Warehouse to indicate that real Industry Data will be Provided with hands-on Classes for Data Science with Python Course at Study Analytics
Industry Data
Multiple Domains Across the globe to indicate that workshops from multiple domains are conducted along with Data Science with Python course at study analytcis
Domain Workspace
Projects with real industry usecases to indicate that live projects are done alongwith Data Science with Python course at Study Analytics
Live Projects
Study Materials are shared to the candidates when they take up Data Science with Python course at Study Analytics
Study Material Shared
Man thinking in Analytic Mindset to show that the learning pedagogy for Data Science with Python Course at Study Analytics is Easy for the Learner
Easy Learning Pedagogy
Learners discussing across a table to depict that group studies are encouraged with Data Science with Python course at Study Analytics
Group Study
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Mock Interviews
Document is being prepared, to indicate that support for preparing an apt Curriculum Vitae in Analytics is given as part of Data Science with Python Course at Study Analytics
Resume Preparation

Courses Highlights

The course duration of Data Science with Python Course at Study Analytics

130 Hours of Classroom + Home assignments and projects

  • A man working with Python's Analytics tools to show that Assignments are given per topic with Data Science with Python course at Study AnalyticsAssignments: 100+  
  • A computer screen with process and outcome to indicate that projects with real business scenarios are facilitaed along with Data Science with Python course at Study AnalyticsProjects: 4 major projects
  • Multiple Domains Across the globe to indicate that workshops from multiple domains are conducted along with Data Science with Python course at study analytcisDomains: Multiple- Retail, Online, Sales
  • A spanner and screw driver image to show that the teaching methodology at Study Analytics for Data Science with Python Course is practice based100% practice based
  • A man standing with process cycle on Python's Analytics tools to indicate that internships are provided with Data Science with Python Course at Study AnalyticsInternship for freshers
  • A man walking out of a door succesfully to indicate that placement support is provided with Data Science with Python course at Study AnalyticsPlacements : 100% of Alumni Are Well Placed Upon Successful Course Completion

What do you get?

  • A thorough understanding about the applications of Data Science in business
  • Most relevant and Latest Algorithms used in Machine Learning
    (Top skills will keep your profile on top)
  • In-Class Assignments (Hands-On: Learn while practicing)
  • Capstone projects to refine the subject taught (Be experienced)
Two fresh graduates new to Analytics standing hand in hand to indicate the prerequisites for taking up Data Science with Python course at Study Analytics


Meritorious Candidates who want to become a Data Scientist, to work with Data Engineering, Machine Learning, Forecasting and developing advanced Analytics solutions for the business. This course is suitable for Engineers, IT, MBAs, Mathematicians, Statisticians with good academic skills to learn the advanced algorithms.

Two succesful candidates wearing graduation caps after completing Data Science with Python Course at Study Analytics

Course Outcome

On successful completion of the course one could learn how to Prepare Business data for advanced Analytics and Apply Logical and Statistical Analysis, Build Advanced Models for Predictive and Forecasting solutions with respect to the business problems.

Course Modules

Data Visualization and Reporting : 60 Hrs
  • Basic Excel Training
  • Advanced Excel Course
  • Advanced Business Dashboards Training
  • Projects
  • Business Analysis
  • Use Case designs
  • RDBMS Concepts in Business
  • Data processing
  • Data Analysis
  • Reporting Using MySQL
  • Data Sources
  • Data Visualizations
  • Dimensions & Measures
  • Graphs and Charts
  • Filtering and Sorting Your Data
  • Organizing Data
  • Using Groups
  • Working with Dates
  • Creating Dashboard
  • Calculations and Statistics
  • Formatting
  • Advance Chart Types
  • Creating Story Telling Business Dashboards
Advanced Analytics and Machine Learning using Python
  • Preliminaries
  • Python Basics
  • Handling Data in Python
  • Data Wrangling
  • Plotting and Visualization
  • Business Use cases
  • Basic Statistical Analysis using Python
  • Regression using Python
  • Classification using Python
  • Clustering using Python
  • Association Rule Learning using Python
  • Dimensionality Reduction using Python
  • Neural Networks using Python
  • Text Mining using Python
  • Time Series Analysis using Python
  • Candidates do multiple projects across domains

Hear from Our Students

Sudheesh K C

Training at Study Analytics was a wonderful experience. Faculties not only limit themselves to the syllabus but make us think out of the box with real-time case studies. I'm glad to be a part of Study Analytics.

Kirthan Sharalaya
Dell EMC

I secured good marks in base SAS certification because I underwent systematic training and mentoring from faculty of Study Analytics. I had other great opportunities to develop new skills and add them to my resume. I would highly recommend this course from Study Analytics to others.

Ghanashyam Gowda
SAP Finance

The course certainly has an advantage in the work environment as analytics is booming. Materials given in the class is well designed. I want to thank the staff of Study Analytics as they are well qualified, make you understand the topics in a simple and easy manner. Really good course and institute to get in. All the best Study Analytics and thanks for giving me an opportunity.

Sandipan Basu

The course has been really helpful in understanding the industry insights and also how analytics is implemented in a particular industry. What and how will analytics help in taking a decision in the industry is being given with business scenarios and respective case studies.

Shashank. BM
University of Bath School of Management

Study Analytics is the stepping stone of my career. Study Analytics help me started on my dream career. The provided the right training, with right domain knowledge & support. Kudos to Soni and his team!

Rajaram Tangirala
Wipro Ltd.

I feel fortunate to be part of Study Analytics, that I chose the right institute with the right faculty & got a great opportunity, and an amazing hike.

Prudhvi Teja
Caterpillar Inc.

Training here is really awesome. The trainers are well experienced. The course is designed perfectly in a standard way which makes us learn thoroughly about SAS. We had lectures from various business analysts and professionals. It has been the best place for me to learn analytics.

Vishnu Thambi
Amazon India

Study materials provided by Study Analytics were really very helpful. The institution really backs you and helps you in finding a good platform to start your career.
Let our experts help you customize the course for your profile


SAS Defines the role of a data scientist as “ a new breed of analytical data expert who have the technical skills to solve complex problems and the curiosity to explore what problems need to be solved. They are part mathematician, part computer scientist and part trend-spotter. And, because they straddle both the business and IT worlds, they’re highly sought-after and well-paid.”
A data scientist should possess Text Analysis, Data Preparation, Machine Learning , Deep Learning, and Data Visualization skills. Additionally programming skills on Python, R or SAS and a solid grasp of statistics, including statistical tests and distributions are mandatory.
According to NASSCOM 2019 survey, there is 2.3 Lakhs of fresh recruits required in data science only in India but only 90k technical graduates are coming out of colleges every year who are trained enough to be placed immediately. Total 7.8 Lakhs of total workforce required in India, in which more than 70% of the current working population needs up-skilling and re-skilling in Analytics.
According to Glassdoor, data scientist is among the top 3 best jobs for work-life balance, and it has one of the highest job satisfaction rates as well! So it is pretty safe to say that in general data science is not stressful. A job becomes stressful if you are not passionate about the job.

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