Online Classroom Batches Preferred
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
No Interest Financing start at ₹ 5000 / month
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
Data Science with Python Course Key Features 100% Money Back Guarantee
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5 Weeks Training
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Certificate of Training
From Industry Data Science with Python Experts -
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No Prior Knowledge Required -
Build 3+ Projects
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Top Companies Placement
A professional application developer is an irreproachable source code creator of the software. Technoscientifically, application developers involves in the end-to-end software development life cycle. They create, test, deploy, and help to upgrade software as per the requirement of clients. They are often rewarded with substantial pay raises as shown below.
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Data Science with Python Course Curriculam
Trainers Profile
Trainers are certified professionals with 11+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Data Science with Python Certification Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Following is sufficient for basics of Data Science with Python technologies :
Syllabus of Data Science with Python Online Course Download syllabus
- What is Data Science?
- What does data science involves?
- Life cycle of Data Science
- Tools of Data Science
- Introduction to Python
- Introduction to python
- Software installation
- Basic operators and functions
- Data types with python
- Conditional statement
- Introduction to Numpy
- Introduction to numpy arrays
- How to Access Array Elements?
- Indexing, Slicing, Iteration, Indexing with Boolean Arrays
- Measures of Central Tendency
- Measures of Dispersion
- Descriptive Statistics
- Probability Basics
- Marginal Probability
- Bayes Theorem
- Probability Distributions
- Hypothesis Testing
- Understand Time Series Data
- Visualizing Time Series Components
- Exponential Smoothing
- Holt's Model
- Holt-Winter's Model
- Introduction to Pandas
- Defining data structures
- Understanding Dataframes
- Importing Data from various sources
- Missing values
- Data Operations
- File read operations
- Descriptive statistics
- Create plots like scatter plot
- Histogram, Bar graph, Pie chart using Matplotlib Grids
- Machine learning Process Flow
- Machine learning categories
- Feature selection and extraction in machine learning
- Supervised learning algorithms
- Simple linear Regression
- Applications of linear regression
- Building regression models using python
- Process to implement linear regression
- Coefficient of determination (R- Squared)
- Accuracy of model
- Multiple linear Regression
- Parsing HTML and XML
- Navigating the document
- Handling CSV files
- Parsing JSON into Python
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Mock Interviews
- Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
- Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!
How Learnovita Mock Interview Works?
Data Science with Python Training Objectives
- A professional certification course called Data Science with Python Certification was established to educate professionals in the fundamentals of data science and the Python programming language. Using the assistance of this certification, data science and analytics professionals are going to be able to apply the tried-and-true concepts of contemporary data science frameworks to their work as well as deepening their expertise of the data science field.
- Python is the primary language used for data science with Python. There are also various libraries and frameworks that are often used alongside Python for data science, such as NumPy, Pandas, Scikit-Learn, TensorFlow, and Keras.
- Data science with Python can be challenging, but is also rewarding and can open up exciting career opportunities. The difficulty of the discipline depends on how much experience someone has with the language and the fundamentals of data science. For someone without a programming background or experience with data science, the difficulty level can be quite high. However, with time, practice, and determination, it can become much easier and more enjoyable.
- The level of pay for any job depends on many variables, such as location, experience, and industry. However, Data Science with Python is generally considered to be among the highest-paid fields in the tech industry.
- Data Science with Python training is recommended for anyone interested in data exploration such as data analysts, data scientists, software developers, and other scientists who want to learn how to use Python and related tools to navigate and manipulate datasets.
- Python programming fundamentals.
- Exploratory Data Analysis.
- Machine Learning Algorithms and Techniques.
- Data Visualization and Interpretation.
- Big Data Processing with Python.
- Data Science with Python is typically used to analyze and visualize complex datasets to extract insights about the data. Python is used for a variety of tasks such as machine learning (classification, regression, clustering, neural networks, etc.), natural language processing (sentiment analysis), data mining (finding patterns from large datasets), web scraping (extracting data from the internet), and more.
- Data Science with Python is used to analyze vast amounts of data and uncover meaningful insights that can be used to inform decisions and develop strategies. Python enables efficient data preparation, exploration, analysis, and visualization in order to identify patterns and trends that can otherwise be difficult to uncover. Data Science with Python can be used to build predictive models, study correlations, and research complex topics like machine learning and artificial intelligence.
- No, Data Science with Python is not an IT skill. It is a scientific discipline that incorporates programming, data analysis, and mathematical modeling.
- Yes. Data Science with Python is currently one of the most in-demand skillsets in the tech industry, with demand for data scientists growing exponentially. Python’s ubiquity in the field of data science, its easy-to-learn syntax and libraries, and its open-source nature make it ideal for data science projects, from prototyping and exploring data sets to creating production-level applications.
Exam & Certification
- Participate and Complete One batch of Data Science with Python Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Data Science with Python course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.

Pranav Srinivas
Software Testing, CapgeminiData Science with Python Course FAQ's
- LearnoVita will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
- On Successfully Completing a Career Course with LearnoVita, you Could be Eligible for Job Placement Assistance.
- 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
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- More than 5400+ students placed in last year in India & Globally.
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- Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
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- LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
- You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
- We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
- View the class presentation and recordings that are available for online viewing.
- You can attend the missed session, in any other live batch.