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
- The Data Science with Python certification is a program designed to provide individuals with the knowledge and skills required to analyze and interpret complex data using Python programming language. It covers various concepts and techniques used in Data Science, such as data manipulation, data visualization, statistical analysis, machine learning, and more.
- Python is a versatile and widely-used programming language in the field of Data Science, with extensive libraries and frameworks specifically built for data analysis and machine learning.
- Data Science is a rapidly growing field with increasing demand for professionals who can extract insights and value from data.
- Python's simplicity and readability make it an ideal language for beginners to learn and apply Data Science concepts.
- Data Science skills are highly transferable and can be applied across various industries and domains.
- Utilising libraries including Pandas and NumPy for data analysis and manipulation.
- Matplotlib and Seaborn for visualisation of data.
- Hypothesis testing and statistical analysis.
- Machine learning techniques and algorithms.
- Equipping students with a strong foundation in Python programming for data analysis and machine learning tasks.
- Providing hands-on experience in data manipulation, visualization, and analysis using Python libraries.
- Introducing students to various machine learning algorithms and techniques and their application in real-world scenarios.
- Developing skills to effectively communicate and present data-driven insights and findings.
- Data Science with Python skills are highly in-demand and have excellent future prospects. The field of Data Science is expected to continue growing as organizations across industries increasingly rely on data-driven decision-making. Proficiency in Python for data analysis and machine learning positions individuals for exciting career opportunities in industries such as finance, healthcare, e-commerce, technology, and more.
- Data scientist.
- Data analyst.
- Machine learning engineer.
- Business analyst.
- Data engineer.
- The remarkability of a Data Science with Python course depends on various factors, such as the quality of the curriculum, the expertise of the instructors, and the hands-on experience provided. It is advisable to choose a reputable course or program that aligns with industry best practices and offers comprehensive coverage of Data Science concepts and techniques.
- The salary of Data Science with Python professionals can vary based on factors such as experience, location, industry, and job responsibilities. Generally, Data Science professionals with Python skills command competitive salaries due to the demand for their expertise. The average annual salary for Data Scientists with Python skills can range from $ 80,000 to $ 150,000 or more, depending on experience and location.
- Introduce students to the fundamental concepts and techniques used in Data Science.
- Develop proficiency in using Python libraries for data manipulation, analysis, and visualization.
- Provide hands-on experience in solving real-world data problems using machine learning algorithms.
- Foster critical thinking and problem-solving skills in the context of data analysis and interpretation.
- Enhance students' ability to communicate data-driven insights effectively.
- Acquire in-demand skills: Data Science with Python is a sought-after skill set, with numerous job opportunities available in the market.
- Versatility and flexibility: Python is a versatile language with a rich ecosystem of libraries and frameworks, making it suitable for a wide range of Data Science tasks.
- Career growth potential: Data Science professionals often have excellent career growth prospects, as the field continues to evolve and organizations increasingly rely on data-driven decision-making.
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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- 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.