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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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
- The Data Science with Python certification course is designed to provide comprehensive knowledge and skills in data science using Python programming language. It covers various concepts such as data manipulation, data visualization, statistical analysis, machine learning, and predictive modeling. The course aims to equip learners with the necessary tools and techniques to extract valuable insights from data and make data-driven decisions.
- Data scientist.
- Data analyst.
- Machine learning engineer.
- Business analyst.
- Data engineer.
- The scope of Data Science with Python is promising and is expected to grow in the future. Data science is a rapidly evolving field, and Python has become the preferred programming language for data scientists due to its simplicity, flexibility, and extensive libraries. With the increasing availability of data and the need for data-driven decision-making, professionals with expertise in Data Science with Python can find opportunities in various industries such as finance, healthcare, e-commerce, marketing, and more.
- Growing demand for data-driven decision-making across industries.
- Advancements in big data analytics and processing.
- Automation and optimization of business processes through data science techniques.
- Expansion of internet of things (IoT) and the need for analyzing IoT-generated data.
- To practice Data Science with Python, it is recommended to work on real-world projects and datasets. You can utilize popular Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn to manipulate and analyze data, build machine learning models, and visualize insights. Additionally, online platforms and data science competitions like Kaggle provide access to diverse datasets and allow you to solve data science problems.
- Data cleaning, preprocessing, and feature engineering.
- Exploratory data analysis and data visualization.
- Model deployment and communication of insights.
- Statistical analysis and hypothesis testing.
- Machine learning algorithms and techniques.
- Basic understanding of statistics and mathematics.
- Familiarity with programming concepts (Python knowledge is beneficial but not mandatory)
- A computer with internet access and necessary software installation capabilities.
- The salary of a Data Science with Python developer can vary based on factors such as experience, location, industry, and company size. However, Data Science professionals with Python skills generally earn competitive salaries. A Data Science with Python developer can expect an average salary ranging from 6 lakhs to 15 lakhs per annum, with variations based on experience and expertise.
- Learning Python programming language and its libraries for data manipulation and analysis.
- Gaining proficiency in data visualization techniques to effectively communicate insights.
- Acquiring knowledge of statistical analysis and hypothesis testing for making data-driven decisions.
- Mastering machine learning algorithms and techniques for predictive modeling.
- Developing practical skills through hands-on projects and real-world case studies.
- Google.
- Facebook.
- Apple.
- Microsoft.
- Amazon.
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.
Recently Placed Students
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.