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SYLLABUS OF PYTHON CERTIFICATION IN SRI LANKA

  • Installing Python Anaconda distribution
  • Python native Data Types
  • Math & Comparision Operators
  • Conditional Statement
  • Loops
  • Lists, Tuples, Strings, Dictionaries, Sets
  • Functions
  • Exception Handling
  • Importing Numpy
  • Numpy overview
  • Numpy Array creation and basic operations
  • Numpy Universal functions
  • Selecting and retrieving Data
  • Data Slicing
  • Iterating Numpy Data
  • Shape Manupilation
  • Stacking and Splitting Arrays
  • Copies and Views : no copy, shallow copy , deep copy

 

  • Importing Pandas
  • Pandas overview
  • Object Creation : Series Object , DataFrame Object
  • View Data
  • Selecting data by Label and Position
  • Data Slicing
  • Boolean Indexing
  • Setting Data
  • Applying functions to data
  • Histogramming
  • String Methods
  • Merge Data : Concat, Join and Append
  • Grouping & Aggregation
  • Reshaping
  • Analysing Data for missing values
  • Filling missing values: fill with constant, forward filling, mean
  • Removing Duplicates
  • Transforming Data
  • Droping Data
  • Sorting Data
  • Pivot Tables
  • Time Series
  • Categoricals
  • Ploting Data
  • Import and Export Data
  • Descriptive Statistics : Sum, Mean, Median, Variance, Standard Deviation
  • Summarizing Categorical Data
  • Plotting with Pandas
  • Correlation : Continuous and Categorical ( Pearson Corr Coff)
  • Chi-Square test for independence
  • Normalizing & Standarding
    • Importing MatPlotLib & Seaborn Libraries
    • Creating basic chart : Line Chart, Bar Charts and Pie Charts
    • Ploting from Pandas object
    • Saving a plot
    • Object Oriented Plotting : Setting axes limits and ticks
    • Multiple Plots
    • Plot Formatting : Custom Lines, Markers, Labels, Annotations, Colors
    • Satistical Plots with Seaborn

OFFERED PYTHON COURSES IN SRI LANKA

PYTHON TRAINING COURSE REVIEWS

ABOUT DATAMITES PYTHON TRAINING IN SRI LANKA

The global Python market size is expected to reach USD 100.6 Million by the year 2030 at a growing rate of 44.8% according to an Emergen Research report. Python is a highly popular programming language, and its future scope in Sri Lanka looks bright. With the growing demand for data science, artificial intelligence, and machine learning professionals, there is a need for individuals with Python programming skills. Companies are looking for developers who can use Python to create complex algorithms, analyze large data sets, and build intelligent systems.

DataMites offers a comprehensive Python training program in Sri Lanka, that covers essential topics like Python programming and popular Data Science packages such as Numpy, Pandas, Sklearn, Scipy, and Matplotlib. Python course is designed to keep students engaged and provides 4 months of comprehensive learning with 400 learning hours, 20 hours of live online training, and 1-year Elearning access. DataMites has successfully trained over 50,000 learners worldwide and provides career and placement guidance to equip students with the necessary skills for job opportunities. Upon completion of the training, students receive an IABAC certification, as DataMites is a platinum partner with IABAC. The program offers access to a Data Science cloud lab for learning purposes, self-study materials, intensive live online training, and resume preparation. Additionally, DataMites assists students in finding internships and job placements to meet industry requirements.

DataMites provides a Certified Python Developer Training Course in Sri Lanka, where students are trained by experienced trainers. The course is designed with a specialized syllabus, 5 case studies, and career and placement support. The program offers an in-depth learning experience with 10 capstones and 1 client project. The course fee for the Certified Python Developer Training Course in Sri Lanka ranges from LKR 53,634 to LKR 124,540. The students get the opportunity to learn from experts in the field, and the capstones and projects help them gain practical knowledge to become proficient Python developers. The program also provides career and placement support to students, ensuring they have the necessary skills to secure a job in the industry.

Python is a versatile programming language that has a wide range of applications in various fields such as data science, machine learning, artificial intelligence, web development, and more. Therefore, acquiring Python training can open up several career opportunities in Sri Lanka. The career scope of Python training in Sri Lanka is quite promising, and with the increasing demand for data-driven approaches and automation, the demand for Python skills is likely to continue to grow. The salary of a Python developer in Sri Lanka ranges from LKR 10,13,674 per year according to a PayScale report. Join DataMites for in-depth knowledge regarding the course.

Along with the python developer course, DataMites also provides data analyst course, data engineer, power bi, deep learning, data science, r programming, machine learning, mlops, tableau, artificial intelligence and data analytics courses in Sri Lanka.

ABOUT PYTHON COURSE IN SRI LANKA

FAQ’S OF PYTHON COURSE IN SRI LANKA

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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