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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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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 individuals with the necessary skills and knowledge to analyze and interpret complex data using Python programming language. It covers various aspects of data science, including data manipulation, data visualization, machine learning, and statistical analysis.
- The scope of Data Science with Python in the future is quite promising. Python is one of the most popular programming languages for data science due to its simplicity, versatility, and a wide range of libraries and frameworks available for data analysis and machine learning. As businesses continue to generate vast amounts of data, the demand for professionals who can extract valuable insights from that data will keep growing.
- Data Scientist: Analyzing and interpreting complex data to extract insights and make data-driven decisions.
- Data Analyst: Collecting, cleaning, and analyzing data to provide actionable insights.
- Data Engineer: Building and maintaining data pipelines and infrastructure.
- Business Analyst: Using data analysis to identify business trends and opportunities.
- Research Scientist: Conducting research and experiments using data analysis techniques.
- Yes, Data Science with Python is considered one of the leading trends in the tech industry. Python's popularity in the data science community, combined with its extensive libraries and frameworks for machine learning and data analysis, positions it as a key tool for driving innovation in the field. As companies continue to harness the power of data to gain a competitive advantage, the demand for data science professionals proficient in Python is expected to increase.
- Yes, there is a high demand for professionals with Data Science with Python skills. With the increasing importance of data-driven decision-making, businesses across various industries are seeking data scientists who can extract valuable insights from data and drive meaningful outcomes. Python's versatility, combined with its robust libraries for data analysis and machine learning, makes it a preferred language for data science.
- To practice Data Science with Python, you can set up a local development environment on your computer or use online platforms that provide Jupyter notebooks and Python coding environments. Some popular options for practicing Data Science with Python include Anaconda, Jupyter Notebook, Google Colab, and Kaggle. These platforms provide an interactive coding environment where you can write and execute Python code, experiment with data analysis techniques, and build machine learning models.
- Understanding the fundamentals of data science and its applications.
- Learning how to manipulate and analyze data using Python libraries such as NumPy, Pandas, and Matplotlib.
- Gaining knowledge of statistical concepts and techniques for data analysis.
- Developing skills in machine learning algorithms and predictive modeling.
- Applying data science concepts to real-world projects and problem-solving.
- Python programming fundamentals.
- Data visualization with Matplotlib and Seaborn.
- Statistical analysis and hypothesis testing.
- Machine learning algorithms and techniques.
- The necessity for the Data Science with Python Course arises from the increasing reliance on data-driven decision-making in various industries. Organizations need professionals who can extract meaningful insights from large and complex datasets to gain a competitive edge. Python, with its extensive libraries and tools for data analysis and machine learning, provides a powerful and flexible platform for performing data science tasks.
- The salary of a Data Science with Python developer can vary based on several factors such as experience, location, industry, and job role. However, data science professionals generally command competitive salaries due to the high demand for their skills. According to industry reports, the average salary of a Data Scientist with Python skills ranges from $90,000 to $150,000 per year, depending on the location and level of experience.
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.