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SYLLABUS OF PYTHON CERTIFICATION IN COLOMBO

  • 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

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ABOUT DATAMITES PYTHON TRAINING IN COLOMBO

According to a report by GlobeNewsWire, the Python web frameworks software market was valued at USD 7.75 million in 2021 and is expected to reach USD 75.65 million by 2029, exhibiting a CAGR of 32.95% during the forecast period of 2022-2029. Python is a popular programming language used in many industries, including data science, web development, and artificial intelligence. As a result, there is a growing demand for Python developers in Colombo. Python developers in Colombo can find job opportunities in software development, data analysis, machine learning, and web development. 

DataMites offers a comprehensive Python training program in Colombo that covers important topics such as Python programming and popular Data Science packages like Numpy, Pandas, Sklearn, Scipy, and Matplotlib. The Python course is designed to keep students engaged and offers 4 months of comprehensive learning with 400 hours of learning, 20 hours of live online training, and 1-year Elearning access. DataMites has a successful track record of training over 50,000 learners worldwide and offers 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 provides 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 Colombo, where experienced trainers teach the students. The course is designed with a specialized syllabus, five case studies, and career and placement support. With ten capstones and one client project, the program offers an in-depth learning experience. The course fee for the Certified Python Developer Training Course in Colombo ranges from LKR 53,634 to LKR 124,540. The students have the opportunity to learn from experts in the field, and the capstones and projects help them gain practical knowledge, making them proficient Python developers. The program also offers career and placement support to students, ensuring they have the necessary skills to secure a job in the industry.

Python has a broad scope in Colombo as it is a popular programming language used in various industries such as data science, web development, and artificial intelligence. Python's versatility and ease of use make it a valuable skill to possess for job opportunities in software development, data analysis, machine learning, and web development. Additionally, with the increasing digitization of businesses, the demand for Python developers is likely to grow further, making it a promising career option in Colombo. The salary of a Python developer in Sri Lanka ranges from LKR 47,736 per year according to Arc. dev report. Join DataMites for an in-depth learning experience regarding the course.

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

ABOUT PYTHON COURSE IN COLOMBO

FAQ’S OF PYTHON COURSE IN COLOMBO

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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