Python for Data Science

19,000.00 15,000.00

  • checkbox Instructor led training of 20 hours
  • checkbox Lifetime access to the Learning Management System
  • checkbox Class Recording
  • checkbox Real Time Projects
  • checkbox Free VM for Lab

checkboxCertification :Study9 Certified Data Scientist with Python 





In this course you will learn how to use Python for Data Science and Machine Learning . With this course you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization,  and natural language processing. There is no prerequisites for this training . If you are a beginners with some programming experience or experienced developers looking to make the jump to Data Science , this is the right course for you .

So what are you waiting for ? Register become a Data Scientist today !

Syllabus and Projects

[expand title=”Introduction”]
● Installing Python (Windows & Mac)


[expand title=”Jupyter Notebooks”]
●Jupyter As IDE
●Jupyter Notebooks Markdown
●Using Mathematical Expressions in Jupyter Notebooks
●Jupyter Widgets
●Interact With Jupyter Notebooks


[expand title=”Core Programming Principles “]
● Types of variables
●Using Variables
●Boolean Variables and Operators
●The “While” Loop
●The “For” Loop
●The “If” statement Preview
●Code indentation in Python
●Section recap
Assignment: Law of Large Numbers
●Core Programming Principles


[expand title=”Python for Data Analysis – NumPy”]
●Introduction to Numpy
●Numpy Arrays
●Quick Note on Array Indexing
●Numpy Array Indexing
●Numpy Operations
●Numpy Exercises


[expand title=”Python for Data Analysis – Pandas “]
●Introduction to Pandas
●Missing Data
●Merging Joining and Concatenating
●Data Input and Output


[expand title=”Python for Data Visualization – Matplotlib “]
●Introduction to Matplotlib
●Matplotlib Exercises


[expand title=”Introduction to Machine Learning”]
●Introduction to Machine Learning
●Machine Learning with Python


[expand title=”Linear Regression “]
●Linear Regression Theory
●model_selection Updates for SciKit Learn 0.18
●Linear Regression with Python
●Linear Regression Project


[expand title=”K Nearest Neighbors “]
●KNN Theory
●KNN with Python


[expand title=”Decision Trees and Random Forests “]
●Introduction to Tree Methods
●Decision Trees and Random Forest with Python


[expand title=”K Means Clustering”]
●K Means Algorithm Theory
●K Means with Python


[expand title=”Natural Language Processing”]
●Natural Language Processing Theory
●NLP with Python
●NLP Project


[expand title=”Big Data and Spark with Python”]
●Big Data Overview
●Spark Overview
●Local Spark Set-Up
●AWS Account Set-Up
●Quick Note on AWS Security
●EC2 Instance Set-Up
●SSH with Mac or Linux
●PySpark Setup
●Lambda Expressions Review
●Introduction to Spark and Python
●RDD Transformations and Actions


[expand title=”Neural Nets and Deep Learning”]
●Neural Network Theory
●Deep Learning Overview
●What is TensorFlow?
●Changes with TensorFlow
●TensorFlow Installation
●TensorFlow Basics
●MNIST with Multi-Layer Perceptron
●TensorFlow with ContribLearn
●Tensorflow Project


  • Regular classes – 4 weeks
  • Weekend Classes – 6 weeks
  • Customized Fast Track option is available as well. Call +91-80-306-306-47 now to customize according to your requirement
  • Experienced IT professionals
  • Having hands on practical knowledge
  • With experience of training large batches in both offline and online mode
  • Online Self Paced Training (SPT) with Videos and Documents
  • Online Instructor Led Training (ILT)

About the course:

Study9 provides a robust job market focused Python  training. Our Python  course is designed with the right mix of basic and advanced topics to get one started in the domain and enable a person to get a good job in this competitive market. Our Python  trainers are experienced professionals with hands on knowledge of Python  projects. The Python  course content is designed with keeping the current job market’s demands in mind.Our Python  training course is value for money and tailor made for our students.

About Study9 Training Method

The Study9 Python  training courses are completely online training courses. The online Python  training is given using advanced training softwares to make the students comfortable with the online training. The student and teacher can talk over VOIP software, they can share each others screens, share Python  course contents and concerns during the class through chat window and even can see each other using Webcams. The time tested proven online Python  training methodologies adopted by study9 are of the most advanced ones in India. The student will feel at ease with the Python  training mode. And we are so confident on that, we offer a moneyback if the student is not satisfied with first Python  Training class.

The  based Python  training course contents are accessible from anywhere in the world. Study9 provides access for each student to an online Learning Management System that holds all the slides and videos that are part of the Python  training courses. The students can access them from their Laptop, Mobile, Tablets etc. The students will also give Python  training exams on this Learning Management System and our expert Python  trainers will rate their papers and provide certifications on successful completion of these Python  training exams.

The best part of this online Python  training approach is that it does not require one to waste time by travelling to a particular Python  training center. And the timings are flexible so that if someday the student has problems in taking the morning Python  training class he/she can fix an alternate time in the evening in discussion with Python  trainer. On need basis our Python  trainers can take a class in late night as well. On request basis missed Python  training class sessions can even be given as video lectures to the student for them to go through to be prepared for the next class.

Additional information

Mode of Training

Video Training (Self Paced), Online Instructor Led Live Training, Classroom Training


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