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!
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Data Science with Python Training Objectives
- An in-depth introduction to data science using the Python programming language can be obtained via the Data Science with Python certification course. It makes use of modules written in Python that include Pandas, NumPy, and Matplotlib, and scikit-learn to address a wide range of topics covering cleaning data, visualising data, statistical analysis, machine learning, and forecasting. The goal of the course aims to provide learners with the expertise and skills required to use Python to face actual data science challenges.
- Validation of skills.
- Career advancement.
- Industry recognition.
- Expanded job opportunities.
- Enhanced knowledge and skills.
- Networking opportunities.
- Data Science with Python certification courses often provide hands-on experience through projects, case studies, and practical assignments.
- Participants may work with real-world datasets and apply Python programming, data cleaning, visualization, statistical analysis, and machine learning techniques.
- Hands-on experience may involve data exploration, preprocessing, feature engineering, model building, model evaluation, and result interpretation.
- The goal is to provide practical exposure to the complete data science workflow, from data preprocessing to model deployment.
- Basic programming knowledge, preferably in Python.
- Familiarity with statistics and mathematical concepts.
- Understanding of data structures and algorithms.
- Some courses may have specific prerequisites or recommended prior knowledge, so it's essential to review the course requirements before enrolling.
- Data scientist.
- Data analyst.
- Machine learning engineer.
- Data Eengineer.
- Business analyst.
- Proficiency in Python programming.
- Statistical knowledge.
- Data manipulation and analysis.
- Data visualization.
- Machine learning.
- Problem-solving and critical thinking.
- Yes, many Data Science with Python certification courses are designed to cater to beginners and assume no prior knowledge of data science or programming. These courses often provide a step-by-step learning path, starting from basic Python programming and gradually introducing data science concepts and techniques. Beginners can learn the fundamentals of data science, gain hands-on experience, and gradually build their skills to an intermediate or advanced level.
- Depending on the course or training provider, you may receive a certification upon completing the Data Science with Python course. The credibility of the certification depends on the reputation and recognition of the organization or institution offering the course. It's essential to choose courses from reputable providers that offer industry-recognized certifications.
- Data Science with Python skills are highly in demand across industries as organizations recognize the value of data-driven decision making. The increasing availability of data and the need to extract insights from it has led to a growing demand for data science professionals with Python expertise. With Python being a popular programming language in the data science community, proficiency in Data Science with Python is a valuable skill set.
- Python is considered one of the easier programming languages to learn, with a clear and intuitive syntax. Data Science with Python courses often provide step-by-step instructions, examples, and practical exercises to facilitate learning. However, it's important to note that while Python itself may be relatively easy to learn, data science concepts and techniques can be complex and require dedicated learning and practice.
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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- 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.