The Data Science Python Training is one of the best online courses, designed and conceived by expert trainers in Python Programming in US GlobalSoft. The certification of this course may help you become a proficient Python programmer. Our company offers detailed learning in Data Science, Data Acquisition Analysis, Machine Learning, Project Life Cycle, and Analysis Statistical Methods. During training, you will gain the knowledge of data transformation, data analysis, experimentation, and evaluation taught by certified trainers of our company. The course of Data Science with Python gives a complete overview of Python’s Data Analytics tools and techniques. Python is very important for different Data Science roles for students. If you acquire the knowledge of Data Science in this course then may become a Data Scientist. The Data Science with Python is the best online python course that provides the basic concepts of Python programming. During the online course, you will also study Data Analysis. Web Scraping, NLP, Machine Learning, and Data Visualization. After completing the Data Science Course successfully from our company, you will become the master of essential tools of Data Science with Python. The question arises why python in this course. Python is a very important part of this course and a good course to get a job easily in technical companies. Thus, Python for data science is good for this course and you can also learn python programming with this online training. You can also study or learn other IT courses online that are provided by our company. We also offer Online IT certification to students who completed their course.
It is the study of data in the form of graphs, mathematical models, and statistics for data analysis in various needs. Thus, programming for data science with python is the most effective and preferred for those students who are interested in this course. The python data science with python will provide you about the fundamentals of python programming that make it efficient to deal with cleaning techniques by using data science python libraries, and data manipulation. It is important to note that Data Science with Python would be a difficult thing to work on in this course.
Benefits of course
Data Science is a growing field with Python in the entire world that helps in getting a job with a high salary in a multinational company. As increasing the demand for Data Science, you will grow an estimated about 1581 percent in the year 2020. If you completed this course successfully then get an excellent job with a high salary.
Features of Data Science in Python
There are some of the features of Data Science in Python are as given below
• Understanding python data science libraries
• Access to real-life scenarios
• Learning basic concepts of data science python visualization
• We will offer course certification guidance
• Our organization help to interview question with answers by our experts
In this course, there are no particular prerequisites and if you like mathematics then it is very helpful in learning Data Science. During training, you will also get MS Excel self-paced course free with this course.
Use of this course
The Data Science with Python will be very beneficial for professionals with a skill for programming. It will also suitable for new users and individuals who are interested in pursuing a career in the programming field. This course will use in learning and understanding python programming from scratch.
How will I perform practical sessions in training
US GlobalSoft offers a virtual environment, which helps to access each other’s systems in this online training. We provide the material of the entire course, which is available in reference materials, pdf format, and course code to our students. Our company conducts online sessions through any of the available requirements such as a webinar, GOTO Meeting, Skype, WebEx, and many more.
Main Features of course
There are main features of this course that are offered by our organization are as given below
• Online Courses 40-45 hours – Every session will be about an hour according to the schedule for an instructor-led live online training program. Our company offers weekend or weekdays schedules. If you miss any class then have the flexibility for watching the recording of the class. You will be provided recorded videos to cover all the topics in the whole training course for a self-paced video training program. The duration of the entire online training course is about 40 to 45 hours.
• Access Course Materials Lifetime – During training, you will get six months of access to the Learning Management System (LMS). The recordings of the class, sample codes, documents, all installation guides, and class presentations are available in the LMS. We also provide access to study or course materials for a lifetime.
• Assignments or Quizzes: 10 hours – We provide assistance or installation guides to set up an auto evaluation.
• Project/Case Study: 5 hours – You will work on a real-time project based on the case study on any of the selected use cases. We also offer problem statements and data sets for students.
• 24x7 Support – Our company offers a 24x7 online support team and always available for students to solve technical queries during the course. The queries of students are tracked as tickets and will get a guaranteed response. The support team can also provide live support by accessing the machine remotely if required.
• Get certified – We offer certification assistance with proper guidance and certification dumps to students after completing the course that helps in getting a job in a multinational company. If you complete this course then we offer Data Science certification to our students.
• Resume and Placement Assistance – Our company works with several consulting companies in the United States. The expert of our organization provided a dedicated resume with interview assistance after completing the entire course for students. US GlobalSoft also provide Online Training and Job Placement for those students who got a certification of this course
DATA SCIENCE WITH PYTHON Course Syllabus
- INTRODUCTION TO DAT ANALYTICS
- TYPES OF DATA ANALYTIVS
- INTRODUCTION TO PYTHON AND BASICS
- FLOW CONTROLS(DECISIO N MAKING STATEMENTS,LOOPING STATEMENTS)
- USER DEFNED FUNCTIONS,DECORATORS
- FILE HANDLING PYTHON,MODULES
- PYTHON LIBRARIES FOR PYTHON
Array creations, conversions, dimensional understandings, shaping, reshaping, generating sample large datasets, Linear algebra functionalities and numerical operations .
- SCIPY LINEAR ALGEBRA OPERATIONS INTERPOLATION NUMERICAL OPERATIONS FAST FOURIER TRANSFORM
- Pandas DataFrame basics
- Understanding data, looking at columns, rows and cells
- Subsetting Columns, Rows with methods
- Grouped and Aggregated Calculations
- Frequency Means and Counts
- Basic plot
- Pandas Data Structures
- Creating your own data (Series and DataFrame)
- Series (also called as Vector) Object operations
- Broadcasting and Scalar operations
- Data Frame Broadcasting (Vectorize)
- Making changes to Series and DataFrame
- Adding additional Columns
- Dropping values
- Exporting and Importing Data
12. MATPLOT LIB:
- Statistical Graphics using matplotlib
- Multivariate Data
- Seaborn Library Plotting methodology
- Univariate, Bivariate and Multivariate
- Pandas Objects Plotting
- Histogram, Density Plot, Scatterplot, Hexbin Plot and Boxplot
- Seaborn Themes and Styles.
13. STATISTICS AND PROBABILITY
- Statistical thinking in Python and approach of Data Analysis
- Fundamental statistics terms and its definitions
- Applying basic statistics in Python with NumPy
- Cumulative Distribution functions
- Modelling Distributions
- Graphical exploratory data analysis with Python
- Probability theories:
- Ranges, Mean, Variance, Standard Deviation and various distributions
- Mass and Density functions
- Kernel density estimation
- Understanding Bayes theorem and predictions*
- Sampling distributions, bias and Exponential distributions
- Hypothesis testing
- Hypothesis Test
- Testing Correlation and Proportions
- Chi-Squared Tests
- Errors, Power and Replications
14. MACHINE LEARNING
- Linear Models
- Linear and Multiple Regressions using statsmodelsandsklearn
- Generalized Linear Models
- Logistic and Poisson Regressions using statsmodels and sklearn
- Survival Analysis
- Model diagnostics
- Comparing Multiple Models
- k-Fold Cross-Validation
- k-Means, Dimension Reduction with PCA (Principal Component Analysis)
- Hierarchical Clusterings.
15. DEEP LEARNING:
- NEURAL NETWORKS AND TYPES
- TENSORFLOW AND KERAS
Prepare for Certification
Our training and certification program gives you a solid understanding of the key topics covered on the Oreilly’s Datascience with Datascience with python Certification. In addition to boosting your income potential, getting certified in Datascience with python demonstrates your knowledge of the skills necessary to be a successful Datascience with python Developer. The certification validates your ability to produce reliable, high-quality results with increased efficiency and consistency.