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 goal of the Data Science with Python certification course is to provide learners with the skills and expertise needed to use Python as a programming language in order to analyse and interpret complex information. Data manipulation, visualising data, statistical analysis, machine learning, and various other topics are covered together in order with additional ideas and methods used in data science.
- Basic programming knowledge.
- Mathematics and statistics understanding.
- Familiarity with python.
- Analytical mindset.
- Enhanced job prospects: Certification demonstrates your expertise in data science and Python, making you a desirable candidate for data science and related roles.
- Industry recognition: Certification validates your skills and knowledge, providing credibility and recognition in the industry.
- Expanded skill set: The certification course covers various data science concepts, Python libraries, and machine learning techniques, enabling you to broaden your skill set and stay updated with industry trends.
- Practical experience: The course often includes hands-on projects and assignments, allowing you to apply your knowledge to real-world scenarios and gain practical experience.
- Data scientist.
- Data analyst.
- Machine learning engineer.
- Data engineer.
- Business analyst.
- Practical projects: You may work on real-world projects that simulate data science scenarios, allowing you to apply your knowledge and skills to solve problems and gain practical experience.
- Coding exercises and assignments: These help reinforce your understanding of Python programming, data manipulation, and analysis techniques.
- Data exploration and analysis: You will learn how to work with different types of datasets, clean and preprocess data, perform exploratory data analysis, and draw insights from the data.
- Python programming.
- Data manipulation and analysis.
- Statistical knowledge.
- Yes, a Data Science with Python certification course can help beginners learn Data Science with Python from scratch. These courses are designed to provide a comprehensive introduction to data science concepts, Python programming, and relevant libraries and tools. They often cover the fundamentals of data manipulation, analysis, visualization, and machine learning, starting from basic concepts and gradually building up to more advanced topics.
- Upon completing a Data Science with Python Course, you will typically receive a certification. The credibility of the certification depends on the course provider and its recognition in the industry. It's important to choose a reputable and well-established course or institution that is recognized by employers and the data science community. Research the credibility and reputation of the certification program before enrolling to ensure it meets your requirements and aligns with industry standards.
- Learning Data Science with Python can be both challenging and rewarding. The difficulty level may vary depending on your prior experience with programming, mathematics, and statistics. However, Python is considered a beginner-friendly language, and there are abundant learning resources and libraries available to support data science tasks. With dedication, practice, and a structured learning path, it is definitely achievable to learn Data Science with Python effectively.
- Yes, Data Science with Python skills are in high demand. As organizations continue to rely on data for decision-making and competitive advantage, the demand for professionals who can analyze and extract insights from data is growing rapidly. Python is widely used in the data science field due to its simplicity, versatility, and extensive libraries and frameworks for data analysis and machine learning. By acquiring Data Science with Python skills, you position yourself for numerous job opportunities and the chance to work on impactful projects.
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.