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
- Data Science with Python is a comprehensive and interactive certification course that helps students and professionals to become proficient in data manipulation, regression, exploration, visualization, and more using Python programming language. This certification course is designed to help learners gain an in-depth understanding of the basics and apply their knowledge to real-world projects.
- The future scope of Data Science with Python is highly promising, as the demand for data scientists is increasing in many different areas and sectors. Some of the areas and sectors that have a high demand for data scientists with Python include artificial intelligence, business analytics, financial analytics, marketing analytics, big data analytics, and healthcare analytics.
- Data Science with Python training offers a wide range of career opportunities for learners. Some of these include data analysis, machine learning engineer, data scientist, data engineer, natural language processing engineer, software engineer, business analyst, software developer, and more.
- You can practice Data Science with Python lab by signing up for a hands-on course or tutorial. You can also practice Python coding through coding platforms. Additionally, you can practice coding Python by completing real-world projects.
- The Data Science with Python online training covers a wide range of skills, including data collection and pre-processing, data manipulation, data analysis, prediction, clustering, machine learning algorithms, and special topics such as natural language processing.
- The necessity for the Data Science with Python Course includes a basic understanding of Python programming language, knowledge of math and statistics, familiarity with linear algebra, knowledge of data manipulation, and the ability to interpret results.
- Knowledge of basic computer science concepts, familiarity with mathematics and statistics, proficiency in Python programming language, problem-solving skills, and understanding of data manipulation and analysis techniques.
The requirements for the Data Science with Python course include the following:
- The objectives of the Data Science with Python online training are to provide students and professionals with an understanding of the Python programming language and its various functions for data analysis and data science. The course covers topics such as data collection, pre-processing, manipulation, analysis, prediction, clustering, classification, and other related machine learning algorithms, as well as special topics such as Natural Language Processing and Deep Learning.
- Yes, Data Science with Python is one of the top trends that will lead the tech industry in this year. With the increasing demand for data scientists and the improvements in the Python language, Data Science with Python is proving to be one of the most popular fields of tech in this yaer.
- Data Science with Python is used for a variety of purposes, including data cleaning and preparation, developing data-driven solutions, and creating predictive models. It can also be used for data visualization, to uncover trends and patterns in large datasets. In addition, many organizations use it for machine learning and artificial intelligence applications, such as natural language processing, computer vision, and self-driving cars.
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
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- 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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- 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.